cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bck7j
title: CCDC 2156057: Experimental Crystal Structure Determination

description: Related Article: Johannes Hungwe, Piwai Tshuma, Maureen Gumbo, Francoise M. Amombo Noa, Lars Öhrström, Gift Mehlana|2023|CrystEngComm|25|1486|doi:10.1039/D3CE00039G
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: 10.25505/fiz.icsd.cc2f67tq
title: CSD 2240333: Experimental Crystal Structure Determination

description: Related Article: Kefeng Liu, Qian Liu, Qiqi Wang, Yuanyuan Su, Shun Zhou, Xiao-Cun Liu, Sheng-Qing Xia|2023|Inorg.Chem.|62|7333|doi:10.1021/acs.inorgchem.3c00491
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2f67vr
title: CSD 2240334: Experimental Crystal Structure Determination

description: Related Article: Kefeng Liu, Qian Liu, Qiqi Wang, Yuanyuan Su, Shun Zhou, Xiao-Cun Liu, Sheng-Qing Xia|2023|Inorg.Chem.|62|7333|doi:10.1021/acs.inorgchem.3c00491
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f6bbb
title: CCDC 2240411: Experimental Crystal Structure Determination

description: Related Article: Si Lok Ko, Eimear Courtney, Mark E Light, David Jones, Gerard McGlacken|2023|Tetrahedron Green Chem|2|100019|doi:10.1016/j.tgchem.2023.100019
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: 10.25505/fiz.icsd.cc2f6kz6
title: CSD 2240648: Experimental Crystal Structure Determination

description: Related Article: Krishnendu Buxi, Amit Mondal, Fei Wang, Partha Pratim Jana|2023|J.Solid State Chem.|323|124019|doi:10.1016/j.jssc.2023.124019
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2f6l08
title: CSD 2240649: Experimental Crystal Structure Determination

description: Related Article: Krishnendu Buxi, Amit Mondal, Fei Wang, Partha Pratim Jana|2023|J.Solid State Chem.|323|124019|doi:10.1016/j.jssc.2023.124019
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2f5lbk
title: CSD 2239698: Experimental Crystal Structure Determination

description: Related Article: A. Grzechnik, V. Petříček, D. Chernyshov, C. McMonagle, T. Geise, H. Shahed, K. Friese|2023|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|79|104|doi:10.1107/S2052520623000999
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2f6gpt
title: CSD 2240546: Experimental Crystal Structure Determination

description: Related Article: Sandip K. Kuila, Harshit, Nilanjan Roy, Sivaprasad Ghanta, Rahul Pan, Krishnendu Buxi, Parna Pramanik, Anup K. Bera, Bikash Saha, Seikh M. Yusuf, Václav Petříček, Ahin Roy, Partha Pratim Jana|2023|Inorg.Chem.|62|7304|doi:10.1021/acs.inorgchem.3c00428
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2f6gqv
title: CSD 2240547: Experimental Crystal Structure Determination

description: Related Article: Sandip K. Kuila, Harshit, Nilanjan Roy, Sivaprasad Ghanta, Rahul Pan, Krishnendu Buxi, Parna Pramanik, Anup K. Bera, Bikash Saha, Seikh M. Yusuf, Václav Petříček, Ahin Roy, Partha Pratim Jana|2023|Inorg.Chem.|62|7304|doi:10.1021/acs.inorgchem.3c00428
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18739/a2td9n940
title: Airborne LiDAR Point Cloud Data, Drained Lake Basin Study Areas on the North Slope of Alaska, 22-27 July 2021

description: The 2021 airborne Light Detection and Ranging (LiDAR) data was acquired by the University of Alaska Geophysical Institute for an National Science Foundation (NSF) funded project focused on catastrophic arctic lake drainage in northern Alaska. The data was acquired at six key field study sites that included drained lake basins north of Teshekpuk Lake, perched lakes on the Ikpikpuk River Delta, tapped lakes at Drew Point, the large drained lake basin complex at the Pik Dunes, a lake and drained lake basin complex at the Anaktuvuk River tundra fire site, and the cascading lake drainage events along the Chipp and Alaktak Rivers. This dataset encompasses 300 square kilometers of terrestrial and aquatic tundra settings in northern Alaska. The data were acquired between 22 July and 27 July 2021 at an estimated density of 16-20 points per square meter (ppm) using an Reigl VQ-580ii LiDAR system flying at an altitude of 750 meters above ground level. The vertical accuracy of this dataset is 10 centimeters. The data have been post-processed to WGS84 UTM Zone 5 North in Ellipsoid Heights (meters).
DOI: 10.34683/sr1914
title: StoneRounds Case: SR1914
title: Bardet Biedl Syndrome

description: StoneRounds Case SR1914 was diagnosed with Bardet Biedl Syndrome likely caused by mutations in the gene: BBS10.
DOI: 10.18739/a2pn8xh1b
title: Orthomosaic Image and Digital Surface Model for the Bugeye Lakes Complex, Arctic Coastal Plain of northern Alaska, July 2022

description: Taken together, lakes and drained lake basins may cover up to 80% of the lowland landscapes in permafrost regions of the Arctic. Lake formation, growth, and drainage in lowland permafrost regions create a terrestrial and aquatic landscape mosaic of importance to geomorphic and hydrologic processes, tundra vegetation communities, permafrost and ground-ice characteristics, biogeochemical cycling, wildlife habitat, and human land-use activities. Our project focuses on quantifying the role of thermokarst lake expansion, drainage, and drained lake basin evolution in the Arctic System. We did this through a combination of field studies, environmental sensor networks, remote sensing, and modeling.
 This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 19 and 20 July 2022 at the Bugeye Lakes Complex on the Arctic Coastal Plain of northern Alaska. 5,968 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 320 hectares (ha). The drone system was flown at 120 meters (m) above ground level (agl) and flight speeds varied from 7–8 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.8.4) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 5 North in Ellipsoid Heights (meters). Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature.
DOI: 10.18739/a2k06x28n
title: Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022

description: Taken together, lakes and drained lake basins may cover up to 80% of the lowland landscapes in permafrost regions of the Arctic. Lake formation, growth, and drainage in lowland permafrost regions create a terrestrial and aquatic landscape mosaic of importance to geomorphic and hydrologic processes, tundra vegetation communities, permafrost and ground-ice characteristics, biogeochemical cycling, wildlife habitat, and human land-use activities. Our project focuses on quantifying the role of thermokarst lake expansion, drainage, and drained lake basin evolution in the Arctic System. We did this through a combination of field studies, environmental sensor networks, remote sensing, and modeling.
 This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 23 July 2022 at Derksen and Schmutz Basins on the Arctic Coastal Plain of northern Alaska. 6,158 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 580 hectares (ha). The drone system was flown at 100 meters (m) above ground level (agl) and flight speeds varied from 7–8 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.8.4) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 5 North in Ellipsoid Heights (meters).
DOI: 10.18739/a2f76685c
title: Orthomosaic Image and Digital Surface Model for Derksen and Schmutz Basins, Arctic Coastal Plain of northern Alaska, 23 July 2022

description: Taken together, lakes and drained lake basins may cover up to 80% of the lowland landscapes in permafrost regions of the Arctic. Lake formation, growth, and drainage in lowland permafrost regions create a terrestrial and aquatic landscape mosaic of importance to geomorphic and hydrologic processes, tundra vegetation communities, permafrost and ground-ice characteristics, biogeochemical cycling, wildlife habitat, and human land-use activities. Our project focuses on quantifying the role of thermokarst lake expansion, drainage, and drained lake basin evolution in the Arctic System. We did this through a combination of field studies, environmental sensor networks, remote sensing, and modeling.
 This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 23 July 2022 at Derksen and Schmutz Basins on the Arctic Coastal Plain of northern Alaska. 6,158 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 580 hectares (ha). The drone system was flown at 100 meters (m) above ground level (agl) and flight speeds varied from 7–8 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.8.4) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 5 North in Ellipsoid Heights (meters).
DOI: 10.34740/kaggle/dsv/7250757
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.18739/a29g5gg0r
title: Orthomosaic Image and Digital Surface Model of Novo Basin, Arctic Coastal Plain of northern Alaska, 20 July 2022

description: Taken together, lakes and drained lake basins may cover up to 80% of the lowland landscapes in permafrost regions of the Arctic. Lake formation, growth, and drainage in lowland permafrost regions create a terrestrial and aquatic landscape mosaic of importance to geomorphic and hydrologic processes, tundra vegetation communities, permafrost and ground-ice characteristics, biogeochemical cycling, wildlife habitat, and human land-use activities. Our project focuses on quantifying the role of thermokarst lake expansion, drainage, and drained lake basin evolution in the Arctic System. We did this through a combination of field studies, environmental sensor networks, remote sensing, and modeling.
 This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 20 July 2022 at Novo Basin on the Arctic Coastal Plain of northern Alaska. 332 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 43 hectares (ha). The drone system was flown at 100 meters (m) above ground level (agl) and flight speeds varied from 7–8 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.8.4) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 5 North in Ellipsoid Heights (meters).
DOI: 10.48323/s2v22-rmj44
title: Effect of curcuminoids on lipid mediator profiles of activated M1 and M2 polarized macrophages

description: Human macrophages of the M1 and M2 phenotype were pre-treated with 3b or 2f for 15 min and then stimulated with Staphylococcus aureus-conditioned medium for 180 min, and lipid mediator profiles were determined by UPLC-MS/MS. 
Raw data including the absolute values (ng) and normalized data (% of control) of all individual experiments was uploaded.
The methods and results were published in Rao et al., Biochem Pharmacol. 2022 Sep:203:115202. doi: 10.1016/j.bcp.2022.115202 
Human M1 or M2 macrophages were treated with vehicle (0.1 % DMSO), compound 3b or 2f in PBS pH 7.4 plus CaCl2 (1 mM) for 15 min and then stimulated with Staphylococcus aureus-conditioned medium (SACM, 1 %) for 180 min at 37 °C. SACM was prepared. In brief, Staphylococcus aureus (strain 6850) was grown for 18 h with orbital shaking (150 rpm) at 37 °C in brain heart infusion medium (Carl Roth, Karlsruhe, Germany). The conditioned medium was harvested after centrifugation (3350 × g, 10 min) and sterile filtered using a Millex-GP Syringe Filter Unit (0.22 μm; Merck).
Cell supernatants (1 mL) were collected and mixed with ice-cold methanol (2 mL). d8-5S-HETE, d4-LTB4, d5-LXA4, d5-RvD2, d4-PGE2 (200 nM, 10 µL each) and d8-AA (10 µM, 10 µL) were added as internal standards. Lipid mediators were extracted by solid phase extraction using Sep-Pak C18 6 cc Vac Cartridges (500 mg; Waters). Briefly, samples were stored at −20 °C for at least 45 min to allow protein precipitation. After centrifugation (1200 × g, 4 °C, 10 min), the supernatant was combined with acidified water (pH 3.5, 7 mL) and loaded onto pre-equilibrated solid phase cartridge columns. Washing steps with water and n-hexane (6 mL, each) followed. Lipid mediators were eluted with methyl formate (6 mL), brought to dryness using an evaporation system (TurboVap LV, Biotage, Uppsala, Sweden) and resuspended in methanol/water (50/50, v/v, 100 µL) for UPLC-MS/MS analysis.
For metabololipidomics analysis, lipid mediators were separated at 50 °C on an Acquity UPLC BEH C18 column (130 Å, 1.7 µm, 2.1 mm × 100 mm, Waters). The Acquity Ultraperformance LC system (Waters) was operated at a flow rate of 0.3 mL/min using a mobile phase consisting of methanol, water, and acetic acid (42:58:0.01, v/v/v), which was ramped to 86:14:0.01 (v/v/v) over 12.5 min followed by isocratic elution at 98:2:0.01 (v/v/v) for 3 min. Eluted lipid mediators were detected by (scheduled) multiple reaction monitoring using a QTRAP 5500 mass spectrometer (Sciex, Framingham, MA), which was equipped with an electrospray ionization source that was operated in negative mode. Acquired mass spectra were processed using Analyst 1.6.2 (Sciex).
DOI: 10.5281/zenodo.10368778
title: Data for the COVID newcomers project
DOI: 10.5281/zenodo.10368779
title: Data for the COVID newcomers project
DOI: 10.18739/a25q4rn60
title: Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 11 August 2022

description: Emergence of beavers as ecosystem engineers in the New Arctic project focuses on establishing field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost. Drones are being used to collect baseline data and track beaver dam building and pond evolution over time. This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 14 August 2022 at the Upper Nome River, MP31, site on the Seward Peninsula, Alaska. 801 digital images were acquired from a DJI P4RTK quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 125 hectares (ha). The drone system was flown at 120 meters (m) above ground level (agl) and flight speeds varied from 8-9 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.7.5) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 3 North in Ellipsoid Heights (meters).
DOI: 10.18739/a21z41v3q
title: Orthomosaic Image and Digital Surface Model for Upper Nome River (MP31) Beaver Ponds, Seward Peninsula, Alaska, 04 August 2021

description: Emergence of beavers as ecosystem engineers in the New Arctic project focuses on establishing field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost. Drones are being used to collect baseline data and track beaver dam building and pond evolution over time. This dataset consists of an orthomosaic and digital surface model (DSM) derived from drone surveys on 04 August 2021 at the Upper Nome River, MP31, site on the Seward Peninsula, Alaska. 248 digital images were acquired from a DJI Phantom 4 Real-Time Kinematic (DJI P4RTK) quadcopter with a DJI D-RTK 2 Mobile Base Station. The mapped area was around 44 hectares (ha). The drone system was flown at 120 meters (m) above ground level (agl) and flight speeds varied from 8-9 meters/second (m/s). The orientation of the camera was set to 90 degrees (i.e. looking straight down). The along-track overlap and across-track overlap of the mission were set at 80% and 70%, respectively. All images were processed in the software Pix4D Mapper (v. 4.7.5) using the standard 3D Maps workflow and the accurate geolocation and orientation calibration method to produce the orthophoto mosaic and digital surface model at spatial resolutions of 5 and 10 centimeters (cm), respectively. Elevation information derived over waterbodies is noisy and does not represent the surface elevation of the feature. A Leica Viva differential global positioning system (GPS) provided ground control for the mission and the data were post-processed to WGS84 UTM Zone 3 North in Ellipsoid Heights (meters).
DOI: 10.34740/kaggle/dsv/7250839
title: BBC News
DOI: 10.6084/m9.figshare.24099501.v4
title: Supplementary Table S2 for Genotype-Phenotype Correlations in Thirty Japanese Patients with Congenital Hypothyroidism Attributable to <i>TG</i> Defects

description: Supplementary Table showing detailed clinical information on each patients with <i>TG</i> variants described in the current paper by Tanase-Nakao K.