cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20008994.v1
title: The effect of the shock index and scoring systems for predicting mortality among geriatric patients with upper gastrointestinal bleeding: a prospective cohort study

description: ABSTRACT BACKGROUND: Gastrointestinal (GI) bleeding is an important cause of mortality and morbidity among geriatric patients. OBJECTIVE: To investigate whether the shock index and other scoring systems are effective predictors of mortality and prognosis among geriatric patients presenting to the emergency department with complaints of upper GI bleeding. DESIGN AND SETTING: Prospective cohort study in an emergency department in Bursa, Turkey. METHODS: Patients over 65 years admitted to a single-center, tertiary emergency service between May 8, 2019, and April 30, 2020, and diagnosed with upper GI bleeding were analyzed. 30, 180 and 360-day mortality prediction performances of the shock index and the Rockall, Glasgow-Blatchford and AIMS-65 scores were evaluated. RESULTS: A total of 111 patients who met the criteria were included in the study. The shock index (P &lt; 0.001) and AIMS-65 score (P &lt; 0.05) of the patients who died within the 30-day period were found to be significantly different, while the shock index (P &lt; 0.001), Rockall score (P &lt; 0.001) and AIMS-65 score (P &lt; 0.05) of patients who died within the 180-day and 360-day periods were statistically different. In the receiver operating characteristic (ROC) analysis for predicting 360-day mortality, the area under the curve (AUC) value was found to be 0.988 (95% confidence interval, CI, 0.971-1.000; P &lt; 0.001). CONCLUSION: The shock index measured among geriatric patients with upper GI bleeding at admission seems to be a more effective predictor of prognosis than other scoring systems.
DOI: 10.7916/d8-g5mw-3b13
title:  GRID3 South Africa Settlement Extents Version 01, Alpha

description: NOTE: This initial version of the South Africa settlement extents has been superseded by the final version, "GRID3 South Africa Settlement Extents, Version 01", now available here: https://doi.org/10.7916/d8-gj76-nz77 The database constitutes a comprehensive set of settlement polygons nationwide. It is in geodatabase format and consists of three feature classes for built up areas (BUA), small settlement areas (SSA), and hamlets (hamlets). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) programme. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: built up areas, BUA, small settlement areas, SSA, hamlets, settlement aggregation, settlement extent, CIESIN, GRID3, Novel-T
DOI: 10.7916/d8-67xa-ta47
title:  GRID3 South Sudan Settlement Extents Version 01, Alpha

description: NOTE: This initial version of the South Sudan settlement extents has been superseded by the final version, "GRID3 South Sudan Settlement Extents, Version 01", now available here: https://doi.org/10.7916/d8-30rg-nd63 The database constitutes a comprehensive set of settlement polygons nationwide. It is in geodatabase format and consists of three feature classes for built up areas (BUA), small settlement areas (SSA), and hamlets (hamlets). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in South Sudan. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: built up areas, BUA, small settlement areas, SSA, hamlets, settlement aggregation, settlement extent, CIESIN, GRID3, Novel-T
DOI: 10.7916/d8-bt9v-wk47
title:  GRID3 Sudan Settlement Extents Version 01, Alpha

description: NOTE: This initial version of the Sudan settlement extents has been superseded by the final version, "GRID3 Sudan Settlement Extents, Version 01", now available here: https://doi.org/10.7916/d8-g6wn-jm94 The database constitutes a comprehensive set of settlement polygons nationwide. It is in geodatabase format and consists of three feature classes for built up areas (BUA), small settlement areas (SSA), and hamlets (hamlets). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: built up areas, BUA, small settlement areas, SSA, hamlets, settlement aggregation, settlement extent, CIESIN, GRID3, Novel-T
DOI: 10.7916/d8-ve7a-dm77
title:  GRID3 Tanzania Settlement Extents Version 01, Alpha

description: NOTE: This initial version of the Tanzania settlement extents has been superseded by the final version, "GRID3 Tanzania Settlement Extents, Version 01", now available here: https://doi.org/10.7916/d8-5cm5-cj43 The database constitutes a comprehensive set of settlement polygons nationwide. It is in geodatabase format and consists of three feature classes for built up areas (BUA), small settlement areas (SSA), and hamlets (hamlets). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: built up areas, BUA, small settlement areas, SSA, hamlets, settlement aggregation, settlement extent, CIESIN, GRID3, Novel-T
DOI: 10.25612/837.1goypvgwedn0
title: Traffic Fatalities by Zip Code

description: Traffic fatalities data aggregated from the TXDoT Crash data at the zip code level for the Houston Area.
DOI: 10.25739/e1bq-kh07
title: Rodriguez_MaizePhenolics_2022

description: This directory contains raw, pre-processed, and normalized LCMS metabolomic data from 602 inbred maize lines. LCMS data were generated by a Waters ACQUITY TQD Tandem Quadrupole UPLC/MS/MS instrument.
DOI: 10.7916/d8-7wzh-5792
title:  GRID3 The Gambia Settlement Extents Version 01, Alpha

description: NOTE: This initial version of the The Gambia settlement extents has been superseded by the final version, "GRID3 The Gambia Settlement Extents, Version 01", now available here: https://doi.org/10.7916/d8-yrbe-qk78 The database constitutes a comprehensive set of settlement polygons nationwide. It is in geodatabase format and consists of three feature classes for built up areas (BUA), small settlement areas (SSA), and hamlets (hamlets). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in The Gambia. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: built up areas, BUA, small settlement areas, SSA, hamlets, settlement aggregation, settlement extent, CIESIN, GRID3, Novel-T
DOI: 10.7916/d8-qdxc-0c73
title:  GRID3 Togo Settlement Extents Version 01, Alpha

description: NOTE: This initial version of the Togo settlement extents has been superseded by the final version, "GRID3 Togo Settlement Extents, Version 01", now available here: https://doi.org/10.7916/d8-j74c-5976 The database constitutes a comprehensive set of settlement polygons nationwide. It is in geodatabase format and consists of three feature classes for built up areas (BUA), small settlement areas (SSA), and hamlets (hamlets). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: built up areas, BUA, small settlement areas, SSA, hamlets, settlement aggregation, settlement extent, CIESIN, GRID3, Novel-T
DOI: 10.5281/zenodo.6617715
title: CSV IceBridge topography data from Petty et al., 2016, TC.

description: CSV versions of the 20 cm threshold ridge height data hosted at https://zenodo.org/record/51569 which were stored as Python 2 pickle files. This caused issues as they are not simply loadable with Python 3. Alternatively, to read the Python 2 pickle files you can use the following: https://rebeccabilbro.github.io/convert-py2-pickles-to-py3/ Original data used to assess Arctic sea ice topography using high-resolution IceBridge laser (ATM) data, from the following publication: Petty, A. A., M. C. Tsamados, N. T. Kurtz, S. L. Farrell, T. Newman, J. Harbeck, D. L. Feltham, J. A. Richter-Menge (2016), Characterizing Arctic sea ice topography using high-resolution IceBridge data, The Cryosphere, doi:10.5194/tcd-9-6495-2015. More information can be found at https://github.com/akpetty/ibtopo2016
DOI: 10.5281/zenodo.6617714
title: CSV IceBridge topography data from Petty et al., 2016, TC.

description: CSV versions of the 20 cm threshold ridge height data hosted at https://zenodo.org/record/51569 which were stored as Python 2 pickle files. This caused issues as they are not simply loadable with Python 3. Alternatively, to read the Python 2 pickle files you can use the following: https://rebeccabilbro.github.io/convert-py2-pickles-to-py3/ Original data used to assess Arctic sea ice topography using high-resolution IceBridge laser (ATM) data, from the following publication: Petty, A. A., M. C. Tsamados, N. T. Kurtz, S. L. Farrell, T. Newman, J. Harbeck, D. L. Feltham, J. A. Richter-Menge (2016), Characterizing Arctic sea ice topography using high-resolution IceBridge data, The Cryosphere, doi:10.5194/tcd-9-6495-2015. More information can be found at https://github.com/akpetty/ibtopo2016
DOI: 10.7916/d8-s1yg-pc20
title:  GRID3 Uganda Settlement Extents Version 01, Alpha

description: NOTE: This initial version of the Uganda settlement extents has been superseded by the final version, "GRID3 Uganda Settlement Extents, Version 01", now available here: https://doi.org/10.7916/d8-a5k9-8c93 The database constitutes a comprehensive set of settlement polygons nationwide. It is in geodatabase format and consists of three feature classes for built up areas (BUA), small settlement areas (SSA), and hamlets (hamlets). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Uganda. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: built up areas, BUA, small settlement areas, SSA, hamlets, settlement aggregation, settlement extent, CIESIN, GRID3, Novel-T
DOI: 10.57764/bsfd-c661
title: COVID-19 Epidemiology and Vaccination Dataset

description: This dataset is a daily snapshot of the Canadian COVID-19 epidemiological
dataset collected by the COVID-19 Canada Open Data Working Group. A team of
volunteers have collected daily data from governmental and non-governmental
sources, including a line list of cases and a time-series of COVID-19
recoveries, testing, and vaccine doses.

Due to the changing nature of COVID-19 coverage in Canada, the dataset was
retired on May 4th, 2022 and replaced with a separate data stream, found
[here](https://github.com/ccodwg/CovidTimelineCanada). This dataset contains
the final snapshot of the original source, found on GitHub
[here](https://github.com/ccodwg/Covid19Canada).

This dataset is associated with the publication "A sub-national real-time
epidemiological and vaccination database for the COVID-19 pandemic in Canada"
(Berry et al., 2021).
DOI: 10.57764/wmqn-3x87
title: COVID-19 Epidemiology and Vaccination Dataset

description: This dataset is a daily snapshot of the Canadian COVID-19 epidemiological
dataset collected by the COVID-19 Canada Open Data Working Group. A team of
volunteers have collected daily data from governmental and non-governmental
sources, including a line list of cases and a time-series of COVID-19
recoveries, testing, and vaccine doses.

Due to the changing nature of COVID-19 coverage in Canada, the dataset was
retired on May 4th, 2022 and replaced with a separate data stream, found
[here](https://github.com/ccodwg/CovidTimelineCanada). This dataset contains
the final snapshot of the original source, found on GitHub
[here](https://github.com/ccodwg/Covid19Canada).

This dataset is associated with the publication "A sub-national real-time
epidemiological and vaccination database for the COVID-19 pandemic in Canada"
(Berry et al., 2021).
DOI: 10.7916/d8-wadt-6z78
title:  GRID3 Zambia Settlement Extents Version 01, Alpha

description: NOTE: This initial version of the Zambia settlement extents has been superseded by the final version, "GRID3 Zambia Settlement Extents, Version 01", now available here: https://doi.org/10.7916/d8-vc0a-nw10 The database constitutes a comprehensive set of settlement polygons nationwide. It is in geodatabase format and consists of three feature classes for built up areas (BUA), small settlement areas (SSA), and hamlets (hamlets). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Zambia. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Keywords: built up areas, BUA, small settlement areas, SSA, hamlets, settlement aggregation, settlement extent, CIESIN, GRID3, Novel-T
DOI: 10.5517/ccdc.csd.cc26ksq9
title: CCDC 2042891: Experimental Crystal Structure Determination

description: Related Article: Qiang Ma, Ming Li, Zhuo Chen, Shao-Fei Ni, James S. Wright, Li-Rong Wen, Lin-Bao Zhang|2022|Green Chemistry|24|4425|doi:10.1039/D2GC00151A
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.cc27kth4
title: CCDC 2072706: Experimental Crystal Structure Determination

description: Related Article: Juan-Juan Shao, Jian-Ling Ni, Abraham Mensah, Yu Liang, Guang-Jun Li, Li-Zhuang Chen, Fang-Ming Wang|2022|New J.Chem.|46|10927|doi:10.1039/D2NJ01514E
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.cc27ktj5
title: CCDC 2072707: Experimental Crystal Structure Determination

description: Related Article: Juan-Juan Shao, Jian-Ling Ni, Abraham Mensah, Yu Liang, Guang-Jun Li, Li-Zhuang Chen, Fang-Ming Wang|2022|New J.Chem.|46|10927|doi:10.1039/D2NJ01514E
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.cc27vvsr
title: CCDC 2081395: Experimental Crystal Structure Determination

description: Related Article: Marco Meyer, Alessandro Prescimone, Edwin C. Constable, Catherine E. Housecroft|2022|CSD Communication|||
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.cc2828bz
title: CCDC 2087550: Experimental Crystal Structure Determination

description: Related Article: Rimpa De, Utsav Sengupta, Antony Savarimuthu, Souvik Misra, Jayanta Nanda, Mrinal K. Bera|2022|New J.Chem.|46|10603|doi:10.1039/D2NJ00586G
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.cc2862h2
title: CCDC 2091213: Experimental Crystal Structure Determination

description: Related Article: Qiang Ma, Ming Li, Zhuo Chen, Shao-Fei Ni, James S. Wright, Li-Rong Wen, Lin-Bao Zhang|2022|Green Chemistry|24|4425|doi:10.1039/D2GC00151A
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.cc289xm4
title: CCDC 2094906: Experimental Crystal Structure Determination

description: Related Article: Hatice Vural|2022|J.Mol.Struct.|1265|133390|doi:10.1016/j.molstruc.2022.133390
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.cc2850vb
title: CCDC 2090201: Experimental Crystal Structure Determination

description: Related Article: Kangsan Hong, Sangwoo Lim, Heehun Moon, Dongwon Kim, Dongwook Kim, Ok-Sang Jung|2021|Dalton Trans.|50|14547|doi:10.1039/D1DT03115E
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.cc28qq91
title: CCDC 2107203: Experimental Crystal Structure Determination

description: Related Article: Somrita Nag, Amita Mondal, Harish Hirani, Priyabrata Banerjee|2022|Mat.Advs.|3|4649|doi:10.1039/D2MA00309K
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.cc28v0cj
title: CCDC 2110367: Experimental Crystal Structure Determination

description: Related Article: Sandeep Kumar Dey, Sarvesh S. Harmalkar, Rahul K. H. O. Yadav, Prem Lama|2022|CrystEngComm|24|4063|doi:10.1039/D2CE00180B
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.cc28v0dk
title: CCDC 2110368: Experimental Crystal Structure Determination

description: Related Article: Sandeep Kumar Dey, Sarvesh S. Harmalkar, Rahul K. H. O. Yadav, Prem Lama|2022|CrystEngComm|24|4063|doi:10.1039/D2CE00180B
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.cc28v0fl
title: CCDC 2110369: Experimental Crystal Structure Determination

description: Related Article: Sandeep Kumar Dey, Sarvesh S. Harmalkar, Rahul K. H. O. Yadav, Prem Lama|2022|CrystEngComm|24|4063|doi:10.1039/D2CE00180B
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.cc2772m6
title: CCDC 2062387: Experimental Crystal Structure Determination

description: Related Article: Abhishek Tripathi, Rajesh Deka, Ray J. Butcher, David R. Turner, Glen B. Deacon, Harkesh B. Singh|2022|New J.Chem.|46|10550|doi:10.1039/D2NJ00997H
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.cc2772sc
title: CCDC 2062392: Experimental Crystal Structure Determination

description: Related Article: Abhishek Tripathi, Rajesh Deka, Ray J. Butcher, David R. Turner, Glen B. Deacon, Harkesh B. Singh|2022|New J.Chem.|46|10550|doi:10.1039/D2NJ00997H
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.cc276x3h
title: CCDC 2062216: Experimental Crystal Structure Determination

description: Related Article: Abhishek Tripathi, Rajesh Deka, Ray J. Butcher, David R. Turner, Glen B. Deacon, Harkesh B. Singh|2022|New J.Chem.|46|10550|doi:10.1039/D2NJ00997H
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.cc276wdr
title: CCDC 2062194: Experimental Crystal Structure Determination

description: Related Article: Abhishek Tripathi, Rajesh Deka, Ray J. Butcher, David R. Turner, Glen B. Deacon, Harkesh B. Singh|2022|New J.Chem.|46|10550|doi:10.1039/D2NJ00997H
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.