cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21171844.v2
title: Table 1. Extracted data

description: The literature on influencer marketing taking into account consumers' gender.
DOI: 10.6073/pasta/ffe0cb1f2c3339bace0ac83e6b249608
title: Frugivoria: A trait database for birds and mammals exhibiting frugivory across contiguous Neotropical moist forests

description: Biodiversity in many areas is rapidly shifting and declining as a consequence of global change. As such, there is an urgent need for new tools and strategies to help identify, monitor, and conserve biodiversity hotspots. One way to identify these areas is by quantifying functional diversity, which measures the unique roles of species within a community and is valuable for conservation because of its relationship with ecosystem functioning. Unfortunately, the trait information required to evaluate functional diversity is often lacking and is difficult to harmonize across disparate data sources. Biodiversity hotspots are particularly lacking in this information. To address this knowledge gap, we compiled Frugivoria, a trait database containing dietary, life-history, and morphological traits as well as IUCN conservation status, for mammals and birds exhibiting frugivory, which are important for seed dispersal, an essential ecosystem service. Accompanying Frugivoria is an open workflow that harmonizes trait and taxonomic data from disparate sources and enables users to analyze traits in space. This version of Frugivoria contains mammal and bird species found in contiguous moist montane forests and adjacent moist lowland forests of Central and South America– the latter specifically focusing on the Andean states. In total, Frugivoria includes 35,073 unique trait values, including new values and harmonized values from existing databases. Frugivoria adds 11,246 new trait values (4,405 for mammals and 6,842 for birds) for a total of 1,732 bird and mammal species. These traits include observed and inferred range size, habitat specialization, body size, and sexual dimorphism. Frugivoria fills gaps in trait categories from other databases such as diet category, home range size, generation time, and longevity. In addition, Frugivoria adds newly described species not included in other databases and harmonizes species classifications among databases. Frugivoria and its workflow enables researchers to quantify relationships between traits and the environment, as well as spatial trends in functional diversity, contributing to basic knowledge and applied conservation of frugivores in this region. By harmonizing trait information from disparate sources and providing code to access species occurrence data, this open-access database fills a major knowledge gap and enables more comprehensive trait-based studies of species exhibiting frugivory in this ecologically important region.
DOI: 10.6084/m9.figshare.21171844
title: Table 1. Extracted data

description: The literature on influencer marketing taking into account consumers' gender.
DOI: 10.6084/m9.figshare.21171844.v4
title: Table 1. Extracted data

description: The literature on influencer marketing taking into account consumers' gender.
DOI: 10.6084/m9.figshare.21171844.v3
title: Table 1. Extracted data

description: The literature on influencer marketing taking into account consumers' gender.
DOI: 10.34740/kaggle/dsv/4272130
title: Kurdish (Kurmanji) News Articles
DOI: 10.5517/ccdc.csd.cc2d4jjm
title: CCDC 2208890: Experimental Crystal Structure Determination

description: Related Article: Huang Qiuping, Zeng Zhenfang, Wei Youhuan, Huang Qiuchan, Wang Qiang|2021|U.S.Patents|||
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.cc2d4l8f
title: CCDC 2208944: Experimental Crystal Structure Determination

description: Related Article: Amanda BUIST, Thierry Bonnaud, Richard Edwards, Adam Patterson, Mark Wright|2021|U.S.Patents|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2d4szb
title: CSD 2209152: Experimental Crystal Structure Determination

description: Related Article: Linan Wang|2022|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7133542
title: Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data

description: This dataset is provided for the paper "Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data". Please refer to the readme in the zipped file for additional documentation. The zipped file contains two CSV files for every country in Africa obtained by queries "[country name]" and "[country name + people]".
DOI: 10.5281/zenodo.7133541
title: Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data

description: This dataset is provided for the paper "Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual Data". Please refer to the readme in the zipped file for additional documentation. The zipped file contains two CSV files for every country in Africa obtained by queries "[country name]" and "[country name + people]".
DOI: 10.6084/m9.figshare.3761562.v2358
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc2d58c7
title: CCDC 2209598: Experimental Crystal Structure Determination

description: Related Article: wenpiao ou, xingkuan chen|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: 10.5281/zenodo.7133624
title: chamaetylas_choloensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7133623
title: chamaetylas_choloensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7133661
title: chamaetylas_fuelleborni_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7133660
title: chamaetylas_fuelleborni_zanfona_1.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc2bdlt5
title: CCDC 2157067: Experimental Crystal Structure Determination

description: Related Article: Shannon E. Creegan, Janine K. Lee, Matthias Zeller, Edward F.C. Byrd, Davin G. Piercey|2022|Energetic Materials Frontiers|3|128|doi:10.1016/j.enmf.2022.07.001
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.cc2bdlv6
title: CCDC 2157068: Experimental Crystal Structure Determination

description: Related Article: Shannon E. Creegan, Janine K. Lee, Matthias Zeller, Edward F.C. Byrd, Davin G. Piercey|2022|Energetic Materials Frontiers|3|128|doi:10.1016/j.enmf.2022.07.001
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.cc2bdlw7
title: CCDC 2157069: Experimental Crystal Structure Determination

description: Related Article: Shannon E. Creegan, Janine K. Lee, Matthias Zeller, Edward F.C. Byrd, Davin G. Piercey|2022|Energetic Materials Frontiers|3|128|doi:10.1016/j.enmf.2022.07.001
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.cc2bdlx8
title: CCDC 2157070: Experimental Crystal Structure Determination

description: Related Article: Shannon E. Creegan, Janine K. Lee, Matthias Zeller, Edward F.C. Byrd, Davin G. Piercey|2022|Energetic Materials Frontiers|3|128|doi:10.1016/j.enmf.2022.07.001
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.cc2bdly9
title: CCDC 2157071: Experimental Crystal Structure Determination

description: Related Article: Shannon E. Creegan, Janine K. Lee, Matthias Zeller, Edward F.C. Byrd, Davin G. Piercey|2022|Energetic Materials Frontiers|3|128|doi:10.1016/j.enmf.2022.07.001
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.cc2bdlzb
title: CCDC 2157072: Experimental Crystal Structure Determination

description: Related Article: Shannon E. Creegan, Janine K. Lee, Matthias Zeller, Edward F.C. Byrd, Davin G. Piercey|2022|Energetic Materials Frontiers|3|128|doi:10.1016/j.enmf.2022.07.001
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.cc2bdm0d
title: CCDC 2157073: Experimental Crystal Structure Determination

description: Related Article: Shannon E. Creegan, Janine K. Lee, Matthias Zeller, Edward F.C. Byrd, Davin G. Piercey|2022|Energetic Materials Frontiers|3|128|doi:10.1016/j.enmf.2022.07.001
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: 10.6084/m9.figshare.21257886.v1
title: cyclopropenone-15.json

description: Training data for Python-based Python Rapid Artificial Intelligence Ab Initio Molecular Dynamics (PyRAI2MD) machine learning photodynamics code. This dataset contains XYZ geometries with the S0, S1, and S2 energies and energy gradients for the photodecarbonylation of cyclopropenone, featuring 15 water solvent molecules
DOI: 10.6084/m9.figshare.21257886
title: cyclopropenone-15.json

description: Training data for Python-based Python Rapid Artificial Intelligence Ab Initio Molecular Dynamics (PyRAI2MD) machine learning photodynamics code. This dataset contains XYZ geometries with the S0, S1, and S2 energies and energy gradients for the photodecarbonylation of cyclopropenone, featuring 15 water solvent molecules
DOI: 10.48531/jbru.calmip/zfuypd/s6iozv
title: C.BSF_GSA.tab

description: :unav
DOI: 10.48531/jbru.calmip/zfuypd/wbewwv
title: D.MP_GSA.tab

description: :unav
DOI: 10.48531/jbru.calmip/zfuypd
title: More out of agrifood co-products – LCA platform of novel food and feed pathways

description: Supplementing information and supporting data for the LCAFOOD 2022 conference abstract n°25
DOI: 10.48531/jbru.calmip/zfuypd/cxkqsr
title: A.Agri_Base_Crit.xlsx

description: Agrifood co-products dataset and selection criteria
DOI: 10.48531/jbru.calmip/zfuypd/fcyxvz
title: B.LCA_Results.tab

description: :unav
DOI: 10.48531/jbru.calmip/zfuypd/guga8d
title: A.Agri_Base_Crit.xlsx

description: Agrifood co-products dataset and selection criteria
DOI: 10.48531/jbru.calmip/zfuypd/sfori0
title: 25_LCAfood2022_SI.doc

description: Supplementing information document (SI)
DOI: 10.34740/kaggle/dsv/4272581
title: Podcast Reviews
DOI: 10.5517/ccdc.csd.cc2c1l89
title: CCDC 2176270: Experimental Crystal Structure Determination

description: Related Article: Jin-Ming Yang, Meng-Lian Yao, Jun-Chi Li, Ji-Kai Liu, Bin Wu|2022|Org.Lett.|24|6505|doi:10.1021/acs.orglett.2c02293
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.cc2c1qbh
title: CCDC 2176396: Experimental Crystal Structure Determination

description: Related Article: Jin-Ming Yang, Meng-Lian Yao, Jun-Chi Li, Ji-Kai Liu, Bin Wu|2022|Org.Lett.|24|6505|doi:10.1021/acs.orglett.2c02293
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.cc28hb8d
title: CCDC 2100103: Experimental Crystal Structure Determination

description: Related Article: Rong-Jia Wei, Pei-Ye You, Haiyan Duan, Mo Xie, Ri-Qin Xia, Xu Chen, Xiaoxu Zhao, Guo-Hong Ning, Andrew I. Cooper, Dan Li|2022|J.Am.Chem.Soc.|144|17487|doi:10.1021/jacs.2c06312
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: 10.5281/zenodo.6964959
title: Asynchronous Workload Balancing through Persistent Work-Stealing and Offloading for a Distributed Actor Model Library

description: With dynamic imbalances caused by both software and ever more complex hardware, applications and runtime systems must adapt to dynamic load imbalances. We present a diffusion-based, reactive, fully asynchronous, and decentralized dynamic load balancer for a distributed actor library. With the asynchronous execution model, features such as remote procedure calls, and support for serialization of arbitrary types, UPC++ is especially feasible for the implementation of the actor model. While providing a substantial speedup for small to medium size jobs with both predictable and unpredictable workload imbalances, the scalability of the diffusion-based approaches remains below expectations in most presented test cases. Actor-UPCXX is a high-performance computing library based on the actor model to enable the use of the actor model for HPC simulations. The source code can be found at: https://github.com/TUM-I5/Actor-UPCXX
DOI: 10.5281/zenodo.6964958
title: Asynchronous Workload Balancing through Persistent Work-Stealing and Offloading for a Distributed Actor Model Library

description: With dynamic imbalances caused by both software and ever more complex hardware, applications and runtime systems must adapt to dynamic load imbalances. We present a diffusion-based, reactive, fully asynchronous, and decentralized dynamic load balancer for a distributed actor library. With the asynchronous execution model, features such as remote procedure calls, and support for serialization of arbitrary types, UPC++ is especially feasible for the implementation of the actor model. While providing a substantial speedup for small- to medium-sized jobs with both predictable and unpredictable workload imbalances, the scalability of the diffusion-based approaches remains below expectations in most presented test cases. Actor-UPCXX is a high-performance computing library based on the actor model to enable the use of the actor model for HPC simulations. The source code can be found at: https://github.com/TUM-I5/Actor-UPCXX
DOI: 10.5281/zenodo.7041385
title: Asynchronous Workload Balancing through Persistent Work-Stealing and Offloading for a Distributed Actor Model Library

description: With dynamic imbalances caused by both software and ever more complex hardware, applications and runtime systems must adapt to dynamic load imbalances. We present a diffusion-based, reactive, fully asynchronous, and decentralized dynamic load balancer for a distributed actor library. With the asynchronous execution model, features such as remote procedure calls, and support for serialization of arbitrary types, UPC++ is especially feasible for the implementation of the actor model. While providing a substantial speedup for small to medium size jobs with both predictable and unpredictable workload imbalances, the scalability of the diffusion-based approaches remains below expectations in most presented test cases. Actor-UPCXX is a high-performance computing library based on the actor model to enable the use of the actor model for HPC simulations. The source code can be found at: https://github.com/TUM-I5/Actor-UPCXX
DOI: 10.5281/zenodo.7133771
title: Asynchronous Workload Balancing through Persistent Work-Stealing and Offloading for a Distributed Actor Model Library

description: With dynamic imbalances caused by both software and ever more complex hardware, applications and runtime systems must adapt to dynamic load imbalances. We present a diffusion-based, reactive, fully asynchronous, and decentralized dynamic load balancer for a distributed actor library. With the asynchronous execution model, features such as remote procedure calls, and support for serialization of arbitrary types, UPC++ is especially feasible for the implementation of the actor model. While providing a substantial speedup for small- to medium-sized jobs with both predictable and unpredictable workload imbalances, the scalability of the diffusion-based approaches remains below expectations in most presented test cases. Actor-UPCXX is a high-performance computing library based on the actor model to enable the use of the actor model for HPC simulations. The source code can be found at: https://github.com/TUM-I5/Actor-UPCXX
DOI: 10.34740/kaggle/dsv/4272650
title: arXiv Dataset
DOI: 10.5281/zenodo.7133824
title: SG - September 2022

description: Measurements of SG (Global) in September 2022 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133823
title: SG - September 2022

description: Measurements of SG (Global) in September 2022 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133826
title: LPL1 - September 2022

description: Measurements of LPL1 (Teide NP) in September 2022 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133825
title: LPL1 - September 2022

description: Measurements of LPL1 (Teide NP) in September 2022 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133828
title: LPL2 - September 2022

description: Measurements of LPL2 (Caldera de Taburiente NP) in September 2022 La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133827
title: LPL2 - September 2022

description: Measurements of LPL2 (Caldera de Taburiente NP) in September 2022 La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133830
title: LPL3 - September 2022

description: Measurements of LPL3 (Madeira East Coast) in September 2022 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133829
title: LPL3 - September 2022

description: Measurements of LPL3 (Madeira East Coast) in September 2022 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133832
title: LPL4 - September 2022

description: Measurements of LPL4 (Ilha do Corvo) in September 2022 Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133831
title: LPL4 - September 2022

description: Measurements of LPL4 (Ilha do Corvo) in September 2022 Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133834
title: LPL5 - September 2022

description: Measurements of LPL5 (Tejeda) in September 2022 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133833
title: LPL5 - September 2022

description: Measurements of LPL5 (Tejeda) in September 2022 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133836
title: LPL7 - September 2022

description: Measurements of LPL7 (Archipielago Chinijo) in September 2022 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133835
title: LPL7 - September 2022

description: Measurements of LPL7 (Archipielago Chinijo) in September 2022 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133838
title: LPL8 - September 2022

description: Measurements of LPL8 (Timanfaya NP) in September 2022 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133837
title: LPL8 - September 2022

description: Measurements of LPL8 (Timanfaya NP) in September 2022 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133840
title: LPL14 - September 2022

description: Measurements of LPL14 (Ilha das Flores) in September 2022 Flores Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133839
title: LPL14 - September 2022

description: Measurements of LPL14 (Ilha das Flores) in September 2022 Flores Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133842
title: LPL15 - September 2022

description: Measurements of LPL15 (Badajoz) in September 2022 Provincia de Badajoz Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133841
title: LPL15 - September 2022

description: Measurements of LPL15 (Badajoz) in September 2022 Provincia de Badajoz Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133844
title: LPL16 - September 2022

description: Measurements of LPL16 (Caceres) in September 2022 Provincia de Cáceres Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133843
title: LPL16 - September 2022

description: Measurements of LPL16 (Caceres) in September 2022 Provincia de Cáceres Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133846
title: LPL17 - September 2022

description: Measurements of LPL17 (Isla de Tabarca) in September 2022 Alicante Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7133845
title: LPL17 - September 2022

description: Measurements of LPL17 (Isla de Tabarca) in September 2022 Alicante Light Pollution Laboratorie info
DOI: 10.34740/kaggle/dsv/4272703
title: Kurdish (Kurmanji) News Articles