cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2by5zg
title: CCDC 2173006: Experimental Crystal Structure Determination

description: Related Article: Joost H. J. Möbius, Benedikt J. Guddorf, Alexander Hepp, Klaus Bergander, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Felicitas Lips|2022|Organometallics|41|2146|doi:10.1021/acs.organomet.2c00245
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.cc2by60j
title: CCDC 2173007: Experimental Crystal Structure Determination

description: Related Article: Joost H. J. Möbius, Benedikt J. Guddorf, Alexander Hepp, Klaus Bergander, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Felicitas Lips|2022|Organometallics|41|2146|doi:10.1021/acs.organomet.2c00245
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.cc2bx2bp
title: CCDC 2171932: Experimental Crystal Structure Determination

description: Related Article: Maksym Seredyuk, Kateryna Znovjyak, Francisco Javier Valverde-Muñoz, Ivan da Silva, M. Carmen Muñoz, Yurii S. Moroz, José Antonio Real|2022|J.Am.Chem.Soc.|144|14297|doi:10.1021/jacs.2c05417
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.cc2by61k
title: CCDC 2173008: Experimental Crystal Structure Determination

description: Related Article: Joost H. J. Möbius, Benedikt J. Guddorf, Alexander Hepp, Klaus Bergander, Constantin G. Daniliuc, Christian Mück-Lichtenfeld, Felicitas Lips|2022|Organometallics|41|2146|doi:10.1021/acs.organomet.2c00245
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.cc2bx2cq
title: CCDC 2171933: Experimental Crystal Structure Determination

description: Related Article: Maksym Seredyuk, Kateryna Znovjyak, Francisco Javier Valverde-Muñoz, Ivan da Silva, M. Carmen Muñoz, Yurii S. Moroz, José Antonio Real|2022|J.Am.Chem.Soc.|144|14297|doi:10.1021/jacs.2c05417
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.cc2bx29n
title: CCDC 2171931: Experimental Crystal Structure Determination

description: Related Article: Maksym Seredyuk, Kateryna Znovjyak, Francisco Javier Valverde-Muñoz, Ivan da Silva, M. Carmen Muñoz, Yurii S. Moroz, José Antonio Real|2022|J.Am.Chem.Soc.|144|14297|doi:10.1021/jacs.2c05417
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.cc2bx2dr
title: CCDC 2171934: Experimental Crystal Structure Determination

description: Related Article: Maksym Seredyuk, Kateryna Znovjyak, Francisco Javier Valverde-Muñoz, Ivan da Silva, M. Carmen Muñoz, Yurii S. Moroz, José Antonio Real|2022|J.Am.Chem.Soc.|144|14297|doi:10.1021/jacs.2c05417
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.cc2c2j88
title: CCDC 2177169: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Koushik Naskar, Shantonu Roy, Imtiaj Mondal, Sudip Karmakar, Aniket Mishra, Indubhusan Deb|2022|J.Org.Chem.|87|9988|doi:10.1021/acs.joc.2c00974
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.cc2c6szc
title: CCDC 2181283: Experimental Crystal Structure Determination

description: Related Article: John F. Hoskin, Erik J. Sorensen|2022|J.Am.Chem.Soc.|144|14042|doi:10.1021/jacs.2c06504
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.cc29jwk9
title: CCDC 2131391: Experimental Crystal Structure Determination

description: Related Article: Rabi Sankar Sarkar, Tanmoy Basak, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay|2022|Polyhedron|225|116039|doi:10.1016/j.poly.2022.116039
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.cc29jwlb
title: CCDC 2131392: Experimental Crystal Structure Determination

description: Related Article: Rabi Sankar Sarkar, Tanmoy Basak, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay|2022|Polyhedron|225|116039|doi:10.1016/j.poly.2022.116039
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.cc29jwmc
title: CCDC 2131393: Experimental Crystal Structure Determination

description: Related Article: Rabi Sankar Sarkar, Tanmoy Basak, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay|2022|Polyhedron|225|116039|doi:10.1016/j.poly.2022.116039
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: 10.17909/tvy9-7h80
title: TOI-674 b WFC3 G141 Transmission Spectroscopy
DOI: 10.34740/kaggle/dsv/4064867
title: Russian Invasion of Ukraine
DOI: 10.34740/kaggle/dsv/4064828
title: Automobile-parts-classification
DOI: 10.6084/m9.figshare.19334015
title: Two new species of Anaptychia (Physciaceae) from Western North America, with notes on the other species of section Protoanaptychia

description: This dataset comprises several ITS and mtSSU sequences for most of the species in Anaptychia, along with alignments and subsequent phylogenetic analysis.<br>
DOI: 10.6084/m9.figshare.19334015.v1
title: Two new species of Anaptychia (Physciaceae) from Western North America, with notes on the other species of section Protoanaptychia

description: This dataset comprises several ITS and mtSSU sequences for most of the species in Anaptychia, along with alignments and subsequent phylogenetic analysis.<br>
DOI: 10.6084/m9.figshare.19626114
title: Pharmacological venous thromboembolism prophylaxis in elective cranial surgery: a systematic review of time of initiation, regimen and duration

description: Pharmacological prophylaxis of venous thromboembolism (VTE) requires nuanced decision-making to balance the risk of VTE against haemorrhage. This problem is compounded in neurosurgical patients, in whom postoperative intracranial haemorrhage (ICH) may be catastrophic, compared to non-neuraxial bleeding in other types of surgery. Current major guidelines recommend caution when using pharmacological prophylaxis in elective cranial surgery, but incorporate low-quality evidence and lack precise guidance on timing and duration of anticoagulation. We aimed to answer the following questions for patients undergoing elective cranial surgery: (1) when is the optimal time to initiate postoperative anticoagulation, and (2) how long should postoperative anticoagulation be continued for? In this systematic review, we screened randomised and non-randomised studies reporting original data on pharmacological VTE prophylaxis in elective cranial surgery. Outcomes of interest were VTE and ICH. Three retrospective, single-centre observational studies met eligibility criteria, with a total of 923 participants. Meta-analysis was not performed due to a high risk of bias across all studies. Through narrative synthesis, we found that patients who developed VTE were significantly more likely to receive their first postoperative dose at a later time (mean: 144 vs. 29 h, <i>p</i> = .04). Shorter courses of anticoagulation (&lt;7 days) were associated with significantly lower ICH rates (<i>p</i> = .03) compared to longer courses (&gt;21 days). The limited evidence favours earlier initiation and shorter courses of thromboprophylactic anticoagulation. These findings are specific to patients undergoing surgery for meningioma or glioma and may not apply to other populations. Randomised controlled trials or robustly designed observational studies are necessary to establish a clearer evidence base.
DOI: 10.6084/m9.figshare.19626114.v1
title: Pharmacological venous thromboembolism prophylaxis in elective cranial surgery: a systematic review of time of initiation, regimen and duration

description: Pharmacological prophylaxis of venous thromboembolism (VTE) requires nuanced decision-making to balance the risk of VTE against haemorrhage. This problem is compounded in neurosurgical patients, in whom postoperative intracranial haemorrhage (ICH) may be catastrophic, compared to non-neuraxial bleeding in other types of surgery. Current major guidelines recommend caution when using pharmacological prophylaxis in elective cranial surgery, but incorporate low-quality evidence and lack precise guidance on timing and duration of anticoagulation. We aimed to answer the following questions for patients undergoing elective cranial surgery: (1) when is the optimal time to initiate postoperative anticoagulation, and (2) how long should postoperative anticoagulation be continued for? In this systematic review, we screened randomised and non-randomised studies reporting original data on pharmacological VTE prophylaxis in elective cranial surgery. Outcomes of interest were VTE and ICH. Three retrospective, single-centre observational studies met eligibility criteria, with a total of 923 participants. Meta-analysis was not performed due to a high risk of bias across all studies. Through narrative synthesis, we found that patients who developed VTE were significantly more likely to receive their first postoperative dose at a later time (mean: 144 vs. 29 h, <i>p</i> = .04). Shorter courses of anticoagulation (&lt;7 days) were associated with significantly lower ICH rates (<i>p</i> = .03) compared to longer courses (&gt;21 days). The limited evidence favours earlier initiation and shorter courses of thromboprophylactic anticoagulation. These findings are specific to patients undergoing surgery for meningioma or glioma and may not apply to other populations. Randomised controlled trials or robustly designed observational studies are necessary to establish a clearer evidence base.
DOI: 10.5281/zenodo.5528683
title: Data for the analyses in Zhang et. al. (2021, GMDD)

description: This archive contains the data and figures for the analyses in Zhang et al. (2021, GMDD). Included are annual and monthly averages of various model output variables from simulations conducted using the E3SM Atmosphere Model version 0 (EAMv0) and version 1 (EAMv1). The model source codes (GitHub commits) used in the simulations can be found on Zenodo under DOI 10.5281/zenodo.4668865. The E3SMv1 model's master DOI is 10.11578/E3SM/dc.20180418.36, see https://www.osti.gov/doecode/biblio/10475.
description: This research was supported by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy under contract DE-AC05-76RL01830. Kai Zhang was also supported by the Office of Science of the U.S. Department of Energy as part of the Earth and Environmental Systems Modeling Program, via the Energy Exascale Earth System Model (E3SM) project within the Earth System Model Development program area.
DOI: 10.5281/zenodo.5838953
title: Data for the analyses in Zhang et. al. (2021, GMDD)

description: This archive contains the data and figures for the analyses in Zhang et al. (2021, GMDD). Included are annual and monthly averages of various model output variables from simulations conducted using the E3SM Atmosphere Model version 0 (EAMv0) and version 1 (EAMv1). The model source codes (GitHub commits) used in the simulations can be found on Zenodo under DOI 10.5281/zenodo.4668865. The E3SMv1 model's master DOI is 10.11578/E3SM/dc.20180418.36, see https://www.osti.gov/doecode/biblio/10475.
description: This research was supported by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy under contract DE-AC05-76RL01830. Kai Zhang was also supported by the Office of Science of the U.S. Department of Energy as part of the Earth and Environmental Systems Modeling Program, via the Energy Exascale Earth System Model (E3SM) project within the Earth System Model Development program area.
DOI: 10.5281/zenodo.5838963
title: Data for the analyses in Zhang et. al. (2022, GMDD)

description: This archive contains the data and figures for the analyses in Zhang et al. (2022, GMDD). Included are annual and monthly averages of various model output variables from simulations conducted using the E3SM Atmosphere Model version 1 (EAMv1). The model source codes (GitHub commits) used in the simulations can be found on Zenodo under DOI 10.5281/zenodo.5532606. The E3SMv1 model's master DOI is 10.11578/E3SM/dc.20180418.36, see https://www.osti.gov/doecode/biblio/10475.
description: This research was supported by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy under contract DE-AC05-76RL01830. Kai Zhang was also supported by the Office of Science of the U.S. Department of Energy as part of the Earth and Environmental Systems Modeling Program, via the Energy Exascale Earth System Model (E3SM) project within the Earth System Model Development program area.
DOI: 10.5281/zenodo.5839008
title: Data for the analyses in Zhang et. al. (2022, GMDD)

description: This archive contains the data and figures for the analyses in Zhang et al. (2022, GMDD). Included are annual and monthly averages of various model output variables from simulations conducted using the E3SM Atmosphere Model version 1 (EAMv1). The model source codes (GitHub commits) used in the simulations can be found on Zenodo under DOI 10.5281/zenodo.5532606. The E3SMv1 model's master DOI is 10.11578/E3SM/dc.20180418.36, see https://www.osti.gov/doecode/biblio/10475.
description: This research was supported by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy under contract DE-AC05-76RL01830. Kai Zhang was also supported by the Office of Science of the U.S. Department of Energy as part of the Earth and Environmental Systems Modeling Program, via the Energy Exascale Earth System Model (E3SM) project within the Earth System Model Development program area.
DOI: 10.5281/zenodo.6575078
title: Data for the analyses in Zhang et. al. (2022, GMDD)

description: This archive contains the data and figures for the analyses in Zhang et al. (2022, GMDD). Included are annual and monthly averages of various model output variables from simulations conducted using the E3SM Atmosphere Model version 1 (EAMv1). The model source codes (GitHub commits) used in the simulations can be found on Zenodo under DOI 10.5281/zenodo.5532606. The E3SMv1 model's master DOI is 10.11578/E3SM/dc.20180418.36, see https://www.osti.gov/doecode/biblio/10475.
description: This research was supported by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy under contract DE-AC05-76RL01830. Kai Zhang was also supported by the Office of Science of the U.S. Department of Energy as part of the Earth and Environmental Systems Modeling Program, via the Energy Exascale Earth System Model (E3SM) project within the Earth System Model Development program area.
DOI: 10.5281/zenodo.6667906
title: Data for the analyses in Zhang et. al. (2022, GMDD)

description: This archive contains the data and figures for the analyses in Zhang et al. (2022, GMDD). Included are annual and monthly averages of various model output variables from simulations conducted using the E3SM Atmosphere Model version 1 (EAMv1). The model source codes (GitHub commits) used in the simulations can be found on Zenodo under DOI 10.5281/zenodo.5532606. The E3SMv1 model's master DOI is 10.11578/E3SM/dc.20180418.36, see https://www.osti.gov/doecode/biblio/10475.
description: This research was supported by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy under contract DE-AC05-76RL01830. Kai Zhang was also supported by the Office of Science of the U.S. Department of Energy as part of the Earth and Environmental Systems Modeling Program, via the Energy Exascale Earth System Model (E3SM) project within the Earth System Model Development program area.
DOI: 10.5281/zenodo.6988104
title: Data for the analyses in Zhang et. al. (2022, GMD)

description: This archive contains the data and figures for the analyses in Zhang et al. (2022, GMD). Included are annual and monthly averages of various model output variables from simulations conducted using the E3SM Atmosphere Model version 1 (EAMv1). The model source codes (GitHub commits) used in the simulations can be found on Zenodo under DOI 10.5281/zenodo.5532606. The E3SMv1 model's master DOI is 10.11578/E3SM/dc.20180418.36, see https://www.osti.gov/doecode/biblio/10475.
description: This research was supported by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy under contract DE-AC05-76RL01830. Kai Zhang was also supported by the Office of Science of the U.S. Department of Energy as part of the Earth and Environmental Systems Modeling Program, via the Energy Exascale Earth System Model (E3SM) project within the Earth System Model Development program area.
DOI: 10.5281/zenodo.6988255
title: Data for the analyses in Zhang et. al. (2022, GMD)

description: This archive contains the data and figures for the analyses in Zhang et al. (2022, GMD). Included are annual and monthly averages of various model output variables from simulations conducted using the E3SM Atmosphere Model version 1 (EAMv1). The model source codes (GitHub commits) used in the simulations can be found on Zenodo under DOI 10.5281/zenodo.5532606. The E3SMv1 model's master DOI is 10.11578/E3SM/dc.20180418.36, see https://www.osti.gov/doecode/biblio/10475.
description: This research was supported by the Laboratory Directed Research and Development Program at Pacific Northwest National Laboratory (PNNL), a multiprogram national laboratory operated by Battelle for the U.S. Department of Energy under contract DE-AC05-76RL01830. Kai Zhang was also supported by the Office of Science of the U.S. Department of Energy as part of the Earth and Environmental Systems Modeling Program, via the Energy Exascale Earth System Model (E3SM) project within the Earth System Model Development program area.
DOI: 10.34740/kaggle/dsv/4065097
title: WallStreetBets 2022
DOI: 10.25919/2qdw-fz52
title: Data on Shared stress to create social bonds in Merino sheep

description: This study aimed to look social proximity between individuals under stress treatment compared to control group. For this purpose, GNSS positional data of small group of sheep (10 sheep x 5 test cohorts) located in a paddock for 4 study days was collected. The social proximity between individuals we estimated and the social distance of different group (stress vs control (familiar and non-familiar)) was compared. A document was uploaded with data- describing how the data was collected, details of each file- column and the method and software that used to analyse the data.
DOI: 10.6084/m9.figshare.20484342
title: Datasets

description: Data for sea spray impacts on Tropical Cyclone Olwyn using a coupled atmosphere-ocean-wave model
DOI: 10.5281/zenodo.6456554
title: A semantic segmentation dataset consisting of soil-root images with multiple growth stages.

description: A semantic segmentation dataset consisting of soil-root images with multiple growth stages. <strong>New version will be coming soon!</strong>
DOI: 10.6084/m9.figshare.20484399
title: Dynamic changes in community structure and degradation performance of a bacterial consortium MMBC-1 during the subculturing revival reveal the potential decomposers of lignocellulose

description: Raw data of 16S rRNA gene sequence of MMBC-1
DOI: 10.6084/m9.figshare.20484399.v1
title: Dynamic changes in community structure and degradation performance of a bacterial consortium MMBC-1 during the subculturing revival reveal the potential decomposers of lignocellulose

description: Raw data of 16S rRNA gene sequence of MMBC-1
DOI: 10.34740/kaggle/dsv/3532313
title: Alpha Thalassemia Dataset - Carriers VS Normal
DOI: 10.6084/m9.figshare.20324163
title: Protein sequences of 52 ABC transporters in razor clam(Sinonovacula constricta)

description: The file contains the protein sequences of the total 52 ABC transporters identified in razor clam(<em>Sinonovacula constricta</em>).