cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4280211
title: Madidi Project Full Dataset

description: This item contains <strong>version 2.2</strong> of the Madidi Project's full dataset. The zip file contains (1) raw data, which was downloaded from Tropicos (www.tropicos.org) on October 19, 2019; (2) R scripts used to modify, correct, and clean the raw data; (3) clean data that are the output of the R scripts, and which are the point of departure for most uses of the Madidi Dataset; (4) additional post-cleaning scripts that obtain some additional but non-essential information from the clean data; and (5) a miscellaneous collection of additional non-essential information and figures. This item also includes the Data Use Policy for this dataset. The core dataset of the Madidi Project consists of a network of ~500 forest plots distributed in and around the Madidi National Park in Bolivia. This network contains 50 permanently marked large plots (1-ha), as well as ~450 temporary small plots (0.1-ha). Within the large plots, all woody individuals with a dbh ≥10 cm have been mapped, tagged, measured, and identified. Some of these plots have also been re-visited and information on mortality, recruitment, and growth exists. Within the small plots, all woody individuals with a dbh ≥2.5 cm have been measured and identified. Each plot has some edaphic and topographic information, and some large plots have information on various plant functional traits. The Madidi Project is a collaborative research effort to document and study plant biodiversity in the Amazonia and Tropical Andes of northwestern Bolivia. The project is currently lead by the Missouri Botanical Garden (MBG), in collaboration with the Herbario Nacional de Bolivia. The management of the project is at MBG, where J. Sebastian Tello (sebastian.tello@mobot.org) is the scientific director and Olga Martha Montiel (olgamartha.montiel@mobot.org) is the administrative director. The directors oversee the activities of a research team based in Bolivia. MBG works in collaboration with other data contributors (currently: Manuel J. Macía [manuel.macia@uam.es], and Gabriel Arellano [gabriel.arellano.torres@gmail.com]), with a representative from the Herbario Nacional de Bolivia (LPB; Carla Maldonado [carla.maldonado1@gmail.com]), as well as with other close associated researchers from various institutions. For more information regarding the organization and objectives of the Madidi Project, you can visit the project’s website (www.madidiproject.weebly.com).
description: The Madidi project has been supported by generous grants from the National Science Foundation (DEB 0101775, DEB 0743457, DEB 1836353), and the National Geographic Society (NGS 7754-04 and NGS 8047-06). Additional financial support for the Madidi Project has been provided by the Missouri Botanical Garden, the Comunidad de Madrid (Spain), the Universidad Autónima de Madrid, and the Taylor and Davidson families.
DOI: 10.5281/zenodo.4280074
title: Madidi Project Full Dataset

description: This item contains <strong>version 2.0</strong> of the Madidi Project's full dataset. The zip file contains: (1) raw data, which was downloaded from Tropicos (www.tropicos.org) on June 11, 2018; (2) R scripts used to modify, correct and clean the raw data; (3) clean data that are the output of the R scripts, and which are the point of departure for most uses of the Madidi Dataset; (4) additional post-cleaning scripts that obtain some additional but non-essential information from the clean data. This item also includes the Data Use Policy for this dataset. The core dataset of the Madidi Project consists of a network of ~500 forest plots distributed in and around the Madidi National Park in Bolivia. This network contains 50 permanently marked large plots (1-ha), as well as ~450 temporary small plots (0.1-ha). Within the large plots, all woody individuals with a dbh ≥10 cm have been mapped, tagged, measured, and identified. Some of these plots have also been re-visited and information on mortality, recruitment and growth exists. Within the small plots, all woody individuals with a dbh ≥2.5 cm have been measured and identified. Each plot has some edaphic and topographic information, and some large plots have information on various plant functional traits. The Madidi Project is a collaborative research effort to document and study plant biodiversity in the Amazonia and Tropical Andes of northwestern Bolivia. The project is currently lead by the Missouri Botanical Garden (MBG), in collaboration with the Herbario Nacional de Bolivia. The management of the project is at MBG, where J. Sebastian Tello (sebastian.tello@mobot.org) is the scientific director and Olga Martha Montiel (olgamartha.montiel@mobot.org) is the administrative director. The directors oversee the activities of a research team based in Bolivia. MBG works in collaboration with other data contributors (currently: Manuel J. Macía [manuel.macia@uam.es], and Gabriel Arellano [gabriel.arellano.torres@gmail.com]), with a representative from the Herbario Nacional de Bolivia (LPB; Carla Maldonado [carla.maldonado1@gmail.com]), as well as with other close associated researchers from various institutions. For more information regarding the organization and objectives of the Madidi Project, you can visit the project’s website (www.madidiproject.weebly.com).
description: The Madidi project has been supported by generous grants from the National Science Foundation (DEB 0101775, DEB 0743457, DEB 1836353), and the National Geographic Society (NGS 7754-04 and NGS 8047-06). Additional financial support for the Madidi Project has been provided by the Missouri Botanical Garden, the Comunidad de Madrid (Spain), the Universidad Autónima de Madrid, and the Taylor and Davidson families.
DOI: 10.25386/genetics.13250417
title: Supplemental Material for Kasimatis et al., 2020

description: Supplemental Files
DOI: 10.25386/genetics.13250417.v1
title: Supplemental Material for Kasimatis et al., 2020

description: Supplemental Files
DOI: 10.5281/zenodo.4279759
title: Combining Truck and Vessel Tracking Data to Estimate Performance and Impacts of Inland Waterway Ports

description: The purpose of this project is to estimate the performance of multi-modal supply chains that use inland waterway ports. This is accomplished by developing a method to fuse publicly available datasets including truck and marine vessel tracking data and lock performance data. The study builds on a growing body of research related to multi-modal freight performance measurement, specifically freight fluidity measures. Freight fluidity measurement attempts to capture freight system performance from a multi-modal supply chain perspective. In this study, we effectively combine marine Automatic Identification System (AIS) data with truck Global Positioning System (GPS) data. Both data sources track vessel and vehicle movements and can be used to determine measures such as travel times, dwell times, and other freight activity characteristics. Two models are developed. These are referred to as the Multi-Commodity Assignment Problem (GMAP) and GMAP +. The GMAP model quantifies annualized commodities transloaded at inland waterway port terminals by fusing two mode-specific datasets, truck GPS and marine AIS. The GMAP+ model then assigns commodity flows to vessel trips. Additionally, as a data product, the GMAP and GMAP+ models are used to generate catchment area maps that depict water and truck flows for inland waterway ports in Arkansas.
DOI: 10.5281/zenodo.4279758
title: Combining Truck and Vessel Tracking Data to Estimate Performance and Impacts of Inland Waterway Ports

description: The purpose of this project is to estimate the performance of multi-modal supply chains that use inland waterway ports. This is accomplished by developing a method to fuse publicly available datasets including truck and marine vessel tracking data and lock performance data. The study builds on a growing body of research related to multi-modal freight performance measurement, specifically freight fluidity measures. Freight fluidity measurement attempts to capture freight system performance from a multi-modal supply chain perspective. In this study, we effectively combine marine Automatic Identification System (AIS) data with truck Global Positioning System (GPS) data. Both data sources track vessel and vehicle movements and can be used to determine measures such as travel times, dwell times, and other freight activity characteristics. Two models are developed. These are referred to as the Multi-Commodity Assignment Problem (GMAP) and GMAP +. The GMAP model quantifies annualized commodities transloaded at inland waterway port terminals by fusing two mode-specific datasets, truck GPS and marine AIS. The GMAP+ model then assigns commodity flows to vessel trips. Additionally, as a data product, the GMAP and GMAP+ models are used to generate catchment area maps that depict water and truck flows for inland waterway ports in Arkansas.
DOI: 10.5281/zenodo.4281044
title: Constraints from gravitational waves detections of binary black hole mergers on the C12(alpha, gamma)O16 rate

description: <strong>Reproduction package for the paper "Constraints from gravitational wave detections of binary black hole mergers on the $^{12}\rm{C}\left(\alpha,\gamma\right)^{16}\!\rm{O}}$ rate"</strong> <strong>This package contains inlists for MESA, custom reaction rates used, and processed output data.</strong> <strong>Version 1 contains files for the original arxiv submission.</strong> <strong>Version 2 contains updates due to changes made during peer review</strong> <strong>Version 3 updates inlist_ppisn. There is a slight difference between the inlists used for different parts of the paper</strong>
DOI: 10.5281/zenodo.3559858
title: Constraints from gravitational waves detections of binary black hole mergers on the C12(alpha, gamma)O16 rate

description: <strong>Reproduction package for the paper "Constraints from gravitational wave detections of binary black hole mergers on the $^{12}\rm{C}\left(\alpha,\gamma\right)^{16}\!\rm{O}}$ rate"</strong> <strong>This package contains inlists for MESA, custom reaction rates used, and processed output data.</strong> <strong>Version 1 contains files for the original arxiv submission.</strong> <strong>Version 2 contains updates due to changes made during peer review</strong> <strong>Version 3 updates inlist_ppisn. There is a slight difference between the inlists used for different parts of the paper</strong>
DOI: 10.5281/zenodo.4280895
title: Systematic Literature Review on Meta-Models in BPM: Material

description: Material related to the Systematic Literature Review on Meta-Models in Business Process Management
DOI: 10.5281/zenodo.4281070
title: Madidi Project Full Dataset

description: This item contains <strong>version 4.0</strong> of the Madidi Project's full dataset. The zip file contains (1) raw data, which was downloaded from Tropicos (www.tropicos.org) on August 18, 2020; (2) R scripts used to modify, correct, and clean the raw data; (3) clean data that are the output of the R scripts, and which are the point of departure for most uses of the Madidi Dataset; (4) additional post-cleaning scripts that obtain some additional but non-essential information from the clean data (e.g. by extracting environmental data from rasters); and (5) a miscellaneous collection of additional non-essential information and figures. This item also includes the <strong>Data Use Policy</strong> for this dataset. The core dataset of the Madidi Project consists of a network of ~500 forest plots distributed in and around the Madidi National Park in Bolivia. This network contains 50 permanently marked large plots (1-ha), as well as &gt;450 temporary small plots (0.1-ha). Within the large plots, all woody individuals with a dbh ≥10 cm have been mapped, tagged, measured, and identified. Some of these plots have also been re-visited and information on mortality, recruitment, and growth exists. Within the small plots, all woody individuals with a dbh ≥2.5 cm have been measured and identified. Each plot has some edaphic and topographic information, and some large plots have information on various plant functional traits. The Madidi Project is a collaborative research effort to document and study plant biodiversity in the Amazonia and Tropical Andes of northwestern Bolivia. The project is currently lead by the Missouri Botanical Garden (MBG), in collaboration with the Herbario Nacional de Bolivia. The management of the project is at MBG, where J. Sebastian Tello (sebastian.tello@mobot.org) is the scientific director and Olga Martha Montiel (olgamartha.montiel@mobot.org) is the administrative director. The directors oversee the activities of a research team based in Bolivia. MBG works in collaboration with other data contributors (currently: Manuel J. Macía [manuel.macia@uam.es], Gabriel Arellano [gabriel.arellano.torres@gmail.com] and Beatriz Nieto [sonneratia@gmail.com]), with a representative from the Herbario Nacional de Bolivia (LPB; Carla Maldonado [carla.maldonado1@gmail.com]), as well as with other close associated researchers from various institutions. For more information regarding the organization and objectives of the Madidi Project, you can visit the project’s website (<strong>www.madidiproject.weebly.com</strong>).
description: The Madidi project has been supported by generous grants from the National Science Foundation (DEB 0101775, DEB 0743457, DEB 1836353), and the National Geographic Society (NGS 7754-04 and NGS 8047-06). Additional financial support for the Madidi Project has been provided by the Missouri Botanical Garden, the Comunidad de Madrid (Spain), the Universidad Autónima de Madrid, and the Taylor and Davidson families.
DOI: 10.6084/m9.figshare.12044370
title: The GenTree Leaf Collection: Inter- and intraspecific variation of leaf traits in seven forest tree species across Europe

description: These datasets include leaf traits (morphological -morpho.traits- and chemical -chemical-traits-) from tree populations of seven forest species across their European distribution. It includes a third file with the survey sites<br>
DOI: 10.25386/genetics.13259798
title: Supplemental Material for Mackintosh, Pomiankowski, and Scott 2020

description: File S1 is a Mathematica notebook containing analysis and derivations for the main text, File S2 is a Mathematica notebook for the supplemental information, File S3 is a python script used to simulate data. The Supplemental Information details an alternative form of density dependence.<br>
DOI: 10.25386/genetics.13259798.v1
title: Supplemental Material for Mackintosh, Pomiankowski, and Scott 2020

description: File S1 is a Mathematica notebook containing analysis and derivations for the main text, File S2 is a Mathematica notebook for the supplemental information, File S3 is a python script used to simulate data. The Supplemental Information details an alternative form of density dependence.<br>
DOI: 10.25405/data.ncl.13251731
title: C.M. Harrison et al. 2015: Radio Images of the Teacup AGN

description: This contains the VLA radio images for the Teacup AGN that are used in C.M. Harrison et al. 2015, ApJ, 800, 45: "Storm in a 'Teacup': A Radio-quiet Quasar with ~10kpc Radio-emitting Bubbles and Extreme Gas Kinematics".<br>This article is available on the preprint arXiv here: https://arxiv.org/abs/1410.4198<br>There are 5 radio images, in .fits format, that have extensive meta-data in the headers following astronomy standards. The construction of how these images were created is described in Section 3.1
DOI: 10.25405/data.ncl.13251731.v1
title: C.M. Harrison et al. 2015: Radio Images of the Teacup AGN

description: This contains the VLA radio images for the Teacup AGN that are used in C.M. Harrison et al. 2015, ApJ, 800, 45: "Storm in a 'Teacup': A Radio-quiet Quasar with ~10kpc Radio-emitting Bubbles and Extreme Gas Kinematics".<br>This article is available on the preprint arXiv here: https://arxiv.org/abs/1410.4198<br>There are 5 radio images, in .fits format, that have extensive meta-data in the headers following astronomy standards. The construction of how these images were created is described in Section 3.1
DOI: 10.25405/data.ncl.13201298
title: M.E. Jarvis et al. 2019: Radio Images, IFU cube and [O III] maps for J0945+1737

description: This relates to: M.E. Jarvis et al. 2019, MNRAS, 485, 2710, "Prevalence of radio jets associated with galactic outflows and feedback from quasars". Available on the pre-print archive: arxiv.org/abs/1902.07727<br>This contains:<br>- The Low Resolution ("LR") image and High Resolution ("HR") image from the Very Large Array (VLA) (see Table 3 and Section 3.1)<br>- The eMERLIN image (see Section 3.2).- The IFU data cube used (see Section 3.3)<br>- One file containing the four [O III] maps as four separate fits extensions (SNR, v50, W80 and A; see Section 4.2). Note the units for the v50 and W80 maps is angstroms.<br><br>The details of how the images, data cubes and maps were produced are in the paper. The data files also contain extensive meta-data in the header following the standard for astronomical images.
DOI: 10.25405/data.ncl.13201298.v2
title: M.E. Jarvis et al. 2019: Radio Images, IFU cube and [O III] maps for J0945+1737

description: This relates to: M.E. Jarvis et al. 2019, MNRAS, 485, 2710, "Prevalence of radio jets associated with galactic outflows and feedback from quasars". Available on the pre-print archive: arxiv.org/abs/1902.07727<br>This contains:<br>- The Low Resolution ("LR") image and High Resolution ("HR") image from the Very Large Array (VLA) (see Table 3 and Section 3.1)<br>- The eMERLIN image (see Section 3.2).- The IFU data cube used (see Section 3.3)<br>- One file containing the four [O III] maps as four separate fits extensions (SNR, v50, W80 and A; see Section 4.2). Note the units for the v50 and W80 maps is angstroms.<br><br>The details of how the images, data cubes and maps were produced are in the paper. The data files also contain extensive meta-data in the header following the standard for astronomical images.
DOI: 10.25405/data.ncl.13201298.v1
title: M.E. Jarvis et al. 2019: Radio Images, IFU cube and [O III] maps for J0945+1737

description: This relates to: M.E. Jarvis et al. 2019, MNRAS, 485, 2710, "Prevalence of radio jets associated with galactic outflows and feedback from quasars". Available on the pre-print archive: arxiv.org/abs/1902.07727<br>This contains:<br>- The Low Resolution ("LR") image and High Resolution ("HR") image from the Very Large Array (VLA) (see Table 3 and Section 3.1)<br>- The eMERLIN image (see Section 3.2).- The IFU data cube used (see Section 3.3)<br>- One file containing the four [O III] maps as four separate fits extensions (SNR, v50, W80 and A; see Section 4.2). Note the units for the v50 and W80 maps is angstroms.<br><br>The details of how the images, data cubes and maps were produced are in the paper. The data files also contain extensive meta-data in the header following the standard for astronomical images.
DOI: 10.25405/data.ncl.13238399.v1
title: M.E. Jarvis et al. 2019: Radio Images, IFU cube and [O III] maps for J0958+1439

description: This relates to: M.E. Jarvis et al. 2019, MNRAS, 485, 2710, "Prevalence of radio jets associated with galactic outflows and feedback from quasars". Available on the pre-print archive: arxiv.org/abs/1902.07727<br>This contains:- The Low Resolution ("LR") image and High Resolution ("HR") image from the Very Large Array (VLA) (see Table 3 and Section 3.1)- The eMERLIN image (see Section 3.2).- The IFU data cube used (see Section 3.3)- One file containing the four [O III] maps as four separate fits extensions (SNR, v50, W80 and A; see Section 4.2). Note the units for the v50 and W80 maps is angstroms.<br>The details of how the images, data cubes and maps were produced are in the paper. The data files also contain extensive meta-data in the header following the standard for astronomical images.
DOI: 10.25405/data.ncl.13238399
title: M.E. Jarvis et al. 2019: Radio Images, IFU cube and [O III] maps for J0958+1439

description: This relates to: M.E. Jarvis et al. 2019, MNRAS, 485, 2710, "Prevalence of radio jets associated with galactic outflows and feedback from quasars". Available on the pre-print archive: arxiv.org/abs/1902.07727<br>This contains:- The Low Resolution ("LR") image and High Resolution ("HR") image from the Very Large Array (VLA) (see Table 3 and Section 3.1)- The eMERLIN image (see Section 3.2).- The IFU data cube used (see Section 3.3)- One file containing the four [O III] maps as four separate fits extensions (SNR, v50, W80 and A; see Section 4.2). Note the units for the v50 and W80 maps is angstroms.<br>The details of how the images, data cubes and maps were produced are in the paper. The data files also contain extensive meta-data in the header following the standard for astronomical images.
DOI: 10.18112/openneuro.ds003097.v1.1.1
title: AOMIC-ID1000
DOI: 10.25405/data.ncl.13242152
title: M.E. Jarvis et al. 2019: Radio Images, IFU cube and [O III] maps for J1000+1242

description: This relates to: M.E. Jarvis et al. 2019, MNRAS, 485, 2710, "Prevalence of radio jets associated with galactic outflows and feedback from quasars". Available on the pre-print archive: arxiv.org/abs/1902.07727<br>This contains:- The Low Resolution ("LR") image and High Resolution ("HR") image from the Very Large Array (VLA) (see Table 3 and Section 3.1)- The eMERLIN image (see Section 3.2).- The IFU data cubes used, GMOS+VIMOS (see Section 3.3)- One file containing the four [O III] maps as four separate fits extensions (SNR, v50, W80 and A; see Section 4.2) for both the VIMOS and GMOS data. Note the units for the v50 and W80 maps is angstroms.<br>The details of how the images, data cubes and maps were produced are in the paper. The data files also contain extensive meta-data in the header following the standard for astronomical images.
DOI: 10.25405/data.ncl.13242155
title: M.E. Jarvis et al. 2019: Radio Images, IFU cube and [O III] maps for J1010+1413

description: This relates to: M.E. Jarvis et al. 2019, MNRAS, 485, 2710, "Prevalence of radio jets associated with galactic outflows and feedback from quasars". Available on the pre-print archive: arxiv.org/abs/1902.07727<br>This contains:- The Low Resolution ("LR") image and High Resolution ("HR") image from the Very Large Array (VLA) (see Table 3 and Section 3.1)- The eMERLIN image (see Section 3.2).- The IFU data cubes used, GMOS and VIMOS (see Section 3.3)- One file containing the four [O III] maps as four separate fits extensions for each of VIMOS and GMOS (SNR, v50, W80 and A; see Section 4.2). Note the units for the v50 and W80 maps is angstroms.<br>The details of how the images, data cubes and maps were produced are in the paper. The data files also contain extensive meta-data in the header following the standard for astronomical images.
DOI: 10.25405/data.ncl.13242155.v1
title: M.E. Jarvis et al. 2019: Radio Images, IFU cube and [O III] maps for J1010+1413

description: This relates to: M.E. Jarvis et al. 2019, MNRAS, 485, 2710, "Prevalence of radio jets associated with galactic outflows and feedback from quasars". Available on the pre-print archive: arxiv.org/abs/1902.07727<br>This contains:- The Low Resolution ("LR") image and High Resolution ("HR") image from the Very Large Array (VLA) (see Table 3 and Section 3.1)- The eMERLIN image (see Section 3.2).- The IFU data cubes used, GMOS and VIMOS (see Section 3.3)- One file containing the four [O III] maps as four separate fits extensions for each of VIMOS and GMOS (SNR, v50, W80 and A; see Section 4.2). Note the units for the v50 and W80 maps is angstroms.<br>The details of how the images, data cubes and maps were produced are in the paper. The data files also contain extensive meta-data in the header following the standard for astronomical images.
DOI: 10.5517/ccdc.csd.cc20v7ns
title: CCDC 1872265: Experimental Crystal Structure Determination

description: Related Article: Marta Viciano-Chumillas, Geneviève Blondin, Martin Clémancey, Jurek Krzystek, Mykhaylo Ozerov, Donatella Armentano, Alexander Schnegg, Thomas Lohmiller, Joshua Telser, Francesc Lloret, Joan Cano|2020|Chem.-Eur.J.|26|14242|doi:10.1002/chem.202003052