cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/hancock-c82-26347
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26186
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26192
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26126
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26114
title: Hancock Photographs
DOI: 10.25549/hancock-ouc17538271
title: Hancock Films
DOI: 10.25549/hancock-c82-26216
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26132
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26225
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26174
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26159
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26057
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26069
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26084
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26165
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26129
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26060
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26102
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26162
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26153
title: Hancock Photographs
DOI: 10.25549/hancock-ouc17539422
title: Hancock Films
DOI: 10.25549/hancock-c82-25605
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26096
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26150
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26066
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26144
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26147
title: Hancock Photographs
DOI: 10.25549/hancock-ouc17540118
title: Hancock Films
DOI: 10.25549/hancock-ouc17540130
title: Hancock Films
DOI: 10.25549/hancock-c82-25572
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25623
title: Hancock Photographs
DOI: 10.25549/hancock-ouc17540139
title: Hancock Films
DOI: 10.25549/hancock-ouc17540146
title: Hancock Films
DOI: 10.25549/hancock-ouc17540149
title: Hancock Films
DOI: 10.25549/hancock-ouc17540151
title: Hancock Films
DOI: 10.25549/hancock-ouc17540153
title: Hancock Films
DOI: 10.25549/hancock-ouc17540156
title: Hancock Films
DOI: 10.25549/hancock-ouc17540815
title: Hancock Films
DOI: 10.25549/hancock-ouc17540819
title: Hancock Films
DOI: 10.25549/hancock-ouc17540822
title: Hancock Films
DOI: 10.25549/hancock-ouc110843470
title: Hancock Photographs
DOI: 10.25549/hancock-ouc110843475
title: Hancock Photographs
DOI: 10.25549/hancock-ouc110843476
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25590
title: Hancock Photographs
DOI: 10.25549/hancock-ouc1sto639
title: Hancock Publications
DOI: 10.25549/hancock-c82-26111
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26099
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26075
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26090
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26078
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26087
title: Hancock Photographs
DOI: 10.25549/hancock-ouc110843488
title: Hancock Photographs
DOI: 10.25549/hancock-ouc110843490
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25620
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25569
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25584
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25626
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26108
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25581
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25608
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25611
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25587
title: Hancock Photographs
DOI: 10.48366/r648266
title: Review: Ship trajectory prediction based on AIS data using machine learning methods

description: The comparison table shows researches that processes AIS data using machine learning methods with the aim of predicting the ship's trajectory. Ship trajectory prediction is the process of estimating the future path of a moving object based on its past behavior. Ship trajectory prediction refers to models that can capture the ship motion characteristics and estimate their future positions. The aim of ship trajectory prediction is to provide the possibility to integrate and enrich services to support decision-making including target-tracking, collision avoidance and detection of abnormal traffic behavior, but it is also possible to predict the arrival time of the ship at the destination, port of departure and port of arrival. A variety of machine learning methods have been developed for that purpose including Extended Kalman Filter (EKF), Neural Networks, Bayesian Networks, The Constant Velocity Method, The Single Point Neighbor Search Method, The Multiple Trajectory Extraction Method (MTEM), Gaussian Process, Dual linear autoencoder and etc. Ship trajectory prediction is important because it can help improve the safety and efficiency of maritime transportation by providing accurate and reliable predictions of ship trajectories.
DOI: 10.25549/hancock-c82-25614
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25216
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26240
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26643
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25454
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26840
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25233
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26261
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26093
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26081
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29198
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29076
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29094
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29085
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29004
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29204
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25599
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25602
title: Hancock Photographs
DOI: 10.25925/20220624
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the year 2022; obspack_co2_1_NRT_v7.2_2022-06-28

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.
DOI: 10.25549/hancock-c82-29073
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26120
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28353
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29282
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29059
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29241
title: Hancock Photographs
DOI: 10.25549/hancock-c82-26117
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29082
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29045
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29178
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29067
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29019
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29062
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29022
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29016
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28998
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29091
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27963
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28412
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29025
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29010
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29053
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29079
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29013
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29001
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29039
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25578
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29151
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29056
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28452
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28228
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27908
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28409
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28729
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28210
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28136
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28047
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28314
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28890
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28957
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28121
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28418
title: Hancock Photographs
DOI: 10.25549/hancock-c82-25223
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28881
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28017
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28097
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28596
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28767
title: Hancock Photographs
DOI: 10.25549/hancock-ouc17561479
title: Core sampler operations, Velero IV, 1949-1951

description: Core sampler operations on board Velero IV, 1949-1951. Present are Captain Allan Hancock, marine geologist Chapman, and Fred Ziesenhenne, et al. “Marine geo. [geologist] Chapman WP [work print]” – container. “203 work print trims” – on leader. 18 frames per second. 299.7 feet.
DOI: 10.25549/hancock-c82-28198
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28641
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27757
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28534
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28848
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27981
title: Hancock Photographs
DOI: 10.25925/20220831
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the year 2022; obspack_co2_1_NRT_v8.0_2022-09-02

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.
DOI: 10.25549/hancock-c82-27896
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28077
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27824
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27951
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28659
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28163
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28750
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28782
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28714
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27984
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27960
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28836
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28899
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28930
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28299
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29070
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29136
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27760
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29050
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29088
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29227
title: Hancock Photographs
DOI: 10.25549/hancock-ouc17562892
title: Capture of an iguana, 1933

description: Capture of an iguana, 1933. “Morgana 1933 cruise” – container. Silent. Black-and-white. 624 frames per second. 45 feet. Not on reel/core; double-perforation; emulsion out; black-and-white; positive; MOS (no synchronous audio track). Severe curling/shrinkage. Arrived tails-out. Portion near head clipped -- not transferred -- due to shrinkage. Image appears to flicker.The reference to “Morgana” on the canister is obscure. The Velero III expedition of 1933 (29 December 1932 – 23 March 1933) included stops in Mexico, Panama, Malpelo Island, Ecuador, the Galápagos Islands, and Costa Rica. “Morgana” may be a misreading of Marchena, one of the Galápagos Islands. “Morgana” may alternatively be a misreading of the surname of acquaintances of Captain Allan Hancock, Mr. and Mrs. Philip N. [W.?] Morgan, who sailed with Hancock on a pleasure cruise of the Oaxaca in June 1927 north from Los Angeles to Alaska. However, the Morgans were not on the 1933 cruise of the Velero III. A second reel in the same canister contains more revealing footage and depicts a tropical clime, terrain not characteristic of Marchena Island, and natives who could be Caribbean.
DOI: 10.25549/hancock-c82-28833
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27748
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29031
title: Hancock Photographs
DOI: 10.25549/hancock-ouc17564243
title: Chapman project, 1949?

description: Chapman project, 1949?. USC Cinema film clips around the University of Southern California (Youth triumphant and Doheny Memorial Library, Trojan shrine and Hancock Foundation building, School of Law building, Student’s Union building) and Exposition Park (Los Angeles County Museum). Present are unidentified students. Film slates mark scenes throughout for names: S.R. Lavine, McConnell, McLoney, Barbour, Johnson, Goldberg; projects III, IV (4), V, VI; classes: 105a, 115a; rolls 371, 442, 445; scenes All scenes, A, B, I, II, III. Credits: A & B Editing; The Cinema Workshop, University of Southern California. “Chapman project” – container. “Neg. USC R805001B Head” – on leader. 24 frames per second. Double-perforation. Emulsion out. B&w, MOS.
DOI: 10.25549/hancock-c82-28809
title: Hancock Photographs
DOI: 10.25549/hancock-ouc17564619
title: The thinnest slice, 1949 [unlabeled trims & cutouts only]

description: Unlabelled trims and cutouts only (5 minutes) for a medical film entitled “The thinnest slice” written and produced Daniel H. Chapman, directed by George Pratt, at the University of Southern California, 1949. Sample preparation and slicing on microtome. An unidentified sample is mounted on a block, sliced with the microtome, and prepared for viewing on a microscope. Film slate indicates: Name Chapman; Project P114; Rolls 311, 312. “Unlabeled trims and cutouts” -- container. 18 frames per second. 145.35 feet. Dual perforation. Emulsion out. B&w, positive, MOS.
DOI: 10.25549/hancock-c82-28035
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28785
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27833
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28688
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28980
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27754
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28528
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28181
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27821
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28305
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27881
title: Hancock Photographs
DOI: 10.25549/hancock-c82-29034
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28945
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27742
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28347
title: Hancock Photographs
DOI: 10.25925/20230201
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the year 2023; obspack_co2_1_NRT_v8.1_2023-02-08

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.
DOI: 10.25549/hancock-c82-27990
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28240
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27763
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28430
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28435
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28455
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28974
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28446
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27775
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28100
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28112
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28496
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28094
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27978
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27853
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28887
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28647
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27914
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28083
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28579
title: Hancock Photographs
DOI: 10.25549/hancock-c82-27890
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28776
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28593
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28201
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28556
title: Hancock Photographs
DOI: 10.25549/hancock-c82-28394
title: Hancock Photographs
DOI: 10.3886/2asw-sp98
title: Cabo Verde Compact II - Water, Sanitation, and Hygiene: Final Analysis Report
DOI: 10.3886/6cv0-9b91
title: Cabo Verde Compact II - Water, Sanitation, and Hygiene: Final Analysis Report
DOI: 10.25925/20230601
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the years 2022-2023; obspack_co2_1_NRT_v8.2_2023-06-13

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.
DOI: 10.25925/20210401
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1983-2019; obspack_ch4_1_GLOBALVIEWplus_v3.0_2021-05-07

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 325 atmospheric carbon dioxide datasets derived from observations made by 39 laboratories from 16 countries. Data for the period 1983-2019 (where available) are included.
DOI: 10.5281/zenodo.10067640
title: Quantitative T1 MRI

description: About: This dataset consists of Python objects in pkl format, which were generated by executing qMRLab scripts in MATLAB, and they are utilized to produce interactive visualizations with Plotly. The outputs are derived from Bloch simulations of qMRI experiments and incorporate a select number of in-vivo datasets. These outputs serve to illustrate the connection between quantitative images and their corresponding qualitative counterparts from which they were derived.
Dataset provided for NeuroLibre preprint. Author repo: https://github.com/qMRLab/t1-book-neurolibre NeuroLibre fork:https://github.com/roboneurolibre/t1-book-neurolibre
For details, please visit the corresponding NeuroLibre technical screening.
https://neurolibre.org
DOI: 10.5281/zenodo.10067641
title: Quantitative T1 MRI

description: About: This dataset consists of Python objects in pkl format, which were generated by executing qMRLab scripts in MATLAB, and they are utilized to produce interactive visualizations with Plotly. The outputs are derived from Bloch simulations of qMRI experiments and incorporate a select number of in-vivo datasets. These outputs serve to illustrate the connection between quantitative images and their corresponding qualitative counterparts from which they were derived.
Dataset provided for NeuroLibre preprint. Author repo: https://github.com/qMRLab/t1-book-neurolibre NeuroLibre fork:https://github.com/roboneurolibre/t1-book-neurolibre
For details, please visit the corresponding NeuroLibre technical screening.
https://neurolibre.org
DOI: 10.3886/m01g-ah64
title: Ghana Compact - Community Services - Education: Final Analysis Report
DOI: 10.3886/gecy-df63
title: Ghana Compact - Community Services - Education: Final Analysis Report
DOI: 10.5281/zenodo.10055759
title: E3SM output for tracking mesoscale convection systems in the US

description: E3SMv1 output for tracking mesoscale convection systems in the US.
DOI: 10.3886/247w-nb39
title: Zambia Compact - Water Supply, Sanitation, and Drainage: Final Analysis Report
DOI: 10.3886/6j5c-ny07
title: Zambia Compact - Water Supply, Sanitation, and Drainage: Final Analysis Report
DOI: 10.5517/ccdc.csd.cc2f8s4n
title: CCDC 2242761: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qi Zhang, Cheng-Qiang Wang, Long-Ji Li, Jared L. Piper, Zhi-Hui Peng, Jun-An Ma, Fa-Guang Zhang, Jie Wu|2023|Chemical Science|14|11546|doi:10.1039/D3SC03951J
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: 10.25925/20210518
title: Multi-laboratory compilation of atmospheric methane data for the years 2020-2021; obspack_ch4_1_NRT_v3.0_2021-05-18

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.