cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7564986
title: COVID-19 Pandemic Twitter Discourse Full Dataset

description: This is the full dataset of all tweets collected for the project "The Impact of the COVID-19 Pandemic on Bordering Discourses Regarding Migration and Mobility in Europe". The dataset contains over 75 000. The codebook associated with the dataset can be found here: https://zenodo.org/record/6619705#.Y8-6l3bMKUk Further inquiries can be adressed to Marie-Eve Bélanger (www.marie-eve-belanger-phd.com) Summary of the research project: This research project traces the evolution of migration and mobility control measures and their discursive justification in Europe as the global crisis provoked by the Covid-19 pandemic is unfolding. It is designed to show how multi-level decision-making structures and processes react to emergency situations, and how unforeseen systemic pressures disrupt political narratives about migration and mobility. Drawing on previous research on bordering discourses in Europe, we seek to identify the perturbing impact of an external shock, in this case the Covid-19 pandemic, on established discursive practices in national parliaments and among policy-makers regarding migration, mobility and border controls in Europe.
DOI: 10.3886/e182670
title: Exploring 200 years of U.S. commodity market integration: A structural time series model approach

description: This project contains code and data to replicate "Exploring 200 years of U.S. commodity market integration: A structural time series model approach." <br>This paper uses a structural time series model to explore U.S. commodity market convergence, efficiency, and intertemporal smoothing from 1750-1949. I find near-continuous convergence that is largely concentrated in the frontier, broad antebellum efficiency gains, and intertemporal smoothing from the late 1800s onward among the most perishable goods. The results reveal new periods of integration across all three metrics and underscore the rapid rate of integration on the frontier.<br><br>The raw data encompass more than 570,037 monthly price observations for 72 locations and 103 goods spanning from 1700 to 1950. The cleaned data consist of 385,224 monthly observations across 70 locations and 42 goods from 1750 to 1949.<br>
description: Cities and States from 1700-1949.
description: The dataset contains a highly unbalanced panel of US monthly commodity prices from 1700-1949.
DOI: 10.3886/e182670v1
title: Exploring 200 Years of U.S. Commodity Market Arbitrage: A Structural Time Series Model Approach

description: This project contains code and data to replicate "Exploring 200 Years of U.S. Commodity Market Arbitrage: A Structural Time Series Model Approach." The raw data encompass more than 570,037 monthly price observations for 72 locations and 103 goods spanning from 1700 to 1950. The cleaned data consist of 385,224 monthly observations across 70 locations and 42 goods from 1750 to 1949.<br>This paper uses a structural time series model to explore U.S. commodity market convergence, efficiency, and intertemporal smoothing from 1750-1949. I find near-continuous convergence that is largely concentrated in the frontier, broad antebellum efficiency gains, and intertemporal smoothing from the late 1800s onward among the most perishable goods. The results reveal new periods of integration across all three metrics and underscore the rapid rate of integration on the frontier.<br>
description: The dataset contains a highly unbalanced panel of US monthly commodity prices from 1700-1949.
DOI: 10.3886/e182670v2
title: Exploring 200 years of U.S. commodity market integration: A structural time series model approach

description: This project contains code and data to replicate "Exploring 200 years of U.S. commodity market integration: A structural time series model approach." <br>This paper uses a structural time series model to explore U.S. commodity market convergence, efficiency, and intertemporal smoothing from 1750-1949. I find near-continuous convergence that is largely concentrated in the frontier, broad antebellum efficiency gains, and intertemporal smoothing from the late 1800s onward among the most perishable goods. The results reveal new periods of integration across all three metrics and underscore the rapid rate of integration on the frontier.<br><br>The raw data encompass more than 570,037 monthly price observations for 72 locations and 103 goods spanning from 1700 to 1950. The cleaned data consist of 385,224 monthly observations across 70 locations and 42 goods from 1750 to 1949.<br>
description: Cities and States from 1700-1949.
description: The dataset contains a highly unbalanced panel of US monthly commodity prices from 1700-1949.
DOI: 10.5281/zenodo.7508102
title: DUDE sample dataset

description: First sample training dataset such that challengers on DUDE (https://rrc.cvc.uab.es/?ch=23) can setup their systems.
DOI: 10.5281/zenodo.7509966
title: DUDE sample dataset

description: First sample training dataset such that challengers on DUDE (https://rrc.cvc.uab.es/?ch=23) can set up their systems.<br> OCR is incoming in the next version.
DOI: 10.5281/zenodo.7508101
title: DUDE sample dataset

description: First sample training dataset such that challengers on DUDE (https://rrc.cvc.uab.es/?ch=23) can set up their systems.
DOI: 10.5281/zenodo.7513656
title: DUDE sample dataset

description: First sample training dataset such that challengers on DUDE (https://rrc.cvc.uab.es/?ch=23) can set up their systems.
DOI: 10.5281/zenodo.7521723
title: DUDE sample dataset

description: First sample training dataset such that challengers on DUDE (https://rrc.cvc.uab.es/?ch=23) can set up their systems.
DOI: 10.17909/s2hq-1412
title: HR8799 NIRCam
DOI: 10.6084/m9.figshare.21948299.v1
title: Almécija et al., 2015 NatCommun – Phylogenetic Trees

description: The Nexus file includes the different trees used int he analyses.
DOI: 10.6084/m9.figshare.21948236.v1
title: Supplementary Material

description: Supplementary Material for the publication: Clement, V.F., J. Edanakaparampil, L.M. Schmitz, R. Schluckebier & D. Rödder (2022): Weather related detection probability of <em>Lacerta agilis</em> Linnaeus, 1758 within the core range in Western Germany. <br> Submitted to Basic and applied Herpetology <br> <br>
DOI: 10.6084/m9.figshare.21746375.v2
title: Apparent SIDS in Lusaka, Zambia

description: This dataset contains supplementary tables including SAS code and dataset used for estimating the apparent burden of sudden unexplained infant deaths (SUID) in Lusaka, Zambia. The dataset is from verbal autopsies conducted on infants who died in Lusaka, Zambia, between 2017 and 2020 and was collected as part of the Zambian Pertussis/RSV Infant Mortality Estimation (ZPRIME) project. Using this dataset, we performed qualitative analysis of free text narratives of the final series of events leading to each infant’s death. Infants who were otherwise well with no antecedent illness prior to death and found dead in bed after a sleep episode were classified as SUID. Study oversight for ZPRIME was provided by the institutional review board of Boston University Medical Center and the University of Zambia (UNZA)
DOI: 10.6084/m9.figshare.21948419
title: Forensic Anthropology Skeletal Trauma Database

description: The <strong>Forensic Anthropology Skeletal Trauma</strong> (FAST) database is a novel resource, funded by the National Institute of Justice, which provides trauma analysis data for education, training, and case comparisons. Students, academics, and practitioners can gain an interdisciplinary perspective of skeletal trauma through an examination of outcomes from experimental research utilizing human specimens with known loading mechanisms. The largest obstacle for the field of forensic anthropology is exposure to trauma analysis. Few researchers get quality hands-on training with trauma cases and even fewer have experience with cases involving unequivocally known loading and injury mechanisms. Improvement in skeletal trauma analyses and interpretations is dependent on dissemination in a user-friendly format that allows for training and education and supports forensic professionals in practice. FAST features pre- and post-test <strong>imaging, data</strong> collected from advanced <strong>instrumentation</strong> during the impact event, and <strong>fracture analysis</strong> data. The Forensic Anthropology Skeletal Trauma Database provides a unique opportunity to explore a large sample of skeletal trauma on various regions of the human body and gain insight into objective trauma interpretation. The ability for students and professionals, at all stages in their career, to be exposed to skeletal trauma with known parameters has the potential to be transformative for the field. This <em><strong>freely available</strong></em> resource is an innovative solution to break down pre-existing barriers students and professionals have in accessing trauma specimens. Our goal is to continue to develop FAST through inclusion of past and future experimental skeletal trauma research.
DOI: 10.5683/sp2/bplpap
title: Data for: Effects of landscape and local habitat features on bird communities: a study of urban gradient in greater Vancouver.

description: This dataset was reformatted from Stephanie J. Melles' (1994) MSc dissertation as part of a Living Data Project internship (https://www.ciee-icee.ca/data.html). Data includes bird abundance and species distribution data, as well as habitat variables at various survey sites in Vancouver, BC.
DOI: 10.48420/21631814.v1
title: TPI UK Intangibles Growth-Accounting data set

description: The TPI UK Intangible Growth-Accounting dataset uses the latest ONS data on UK intangible investment at a detailed asset and industry level for the period 1998-2019, and is integrated with the latest version of the UK national accounts data. The dataset consists of data for two alternative models, the first based on national accounts and the second incorporating all intangibles currently uncapitalised in national accounts. It is published by The Productivity Lab, which is part of The Productivity Institute. It consists of the following files: 1. Data and methods in the pdf file format. This document describes the dataset, the data sources used, and the methods used to compile the dataset. 2. TPI UK Intangibles Growth Accounting dataset, in the excel file format (xlsx). This file includes: a general information sheet; a meta data sheet with variable descriptions; a data sheet with the data in a vertical file format; a pivot sheet, that presents the data in a pivot table, using a 2-dimensional format, with filters that allows the user to create custom selections from data. <strong>Attribution Requirement: </strong> When using these data (for whatever purpose), please make the following reference: P. Goodridge, J. Haskel (2022), "Accounting for the slowdown in UK innovation and productivity", Working Paper No. 022, The Productivity Institute
DOI: 10.48420/21631814
title: TPI UK Intangibles Growth-Accounting data set

description: TPI's UK Intangible Growth-Accounting dataset uses the latest ONS data on UK intangible investment at a detailed asset and industry level for the period 1998-2019, and is integrated with the latest version of the UK national accounts data. The dataset consists of data for two alternative models, the first based on national accounts and the second incorporating all intangibles currently uncapitalised in national accounts. It is published by The Productivity Lab, which is part of The Productivity Institute. It consists of the following files: 1. Data and methods in the pdf file format. This document describes the dataset, the data sources used, and the methods used to compile the dataset. 2. TPI UK Intangibles Growth Accounting dataset, in the excel file format (xlsx). This file includes: a general information sheet; a meta data sheet with variable descriptions; a data sheet with the data in a vertical file format; a pivot sheet, that presents the data in a pivot table, using a 2-dimensional format, with filters that allows the user to create custom selections from data. <strong>Attribution Requirement: </strong> When using these data (for whatever purpose), please make the following reference: P. Goodridge, J. Haskel (2022), "Accounting for the slowdown in UK innovation and productivity", Working Paper No. 022, The Productivity Institute
DOI: 10.48577/jpl.x4t1gl
title: Description and Genome Characterization of Three Novel Fungal Strains Isolated from Mars 2020 Mission-Associated Spacecraft Assembly Facility Surfaces—Recommendations for Two New Genera and One Species

description: National Aeronautics and Space Administration’s (NASA) spacecraft assembly facilities are monitored for the presence of any bacteria or fungi which might conceivably survive transfer to an extraterrestrial environment. Fungi present a broad and diverse range of phenotypic and functional traits to adapt to extreme conditions, hence detection of fungi and subsequent eradication of them are needed to prevent forward contamination for future NASA missions. During construction and assembly for the Mars 2020 mission, three fungal strains with unique morphological and phylogenetic properties were isolated from spacecraft assembly facilities. The reconstruction of phylogenetic trees based on several gene loci (ITS, LSU, SSU, RPB2, TUB, and TEF1) using multi-locus sequence typing (MLST) and whole genome sequencing (WGS) analyses revealed that these strains were novel. Here we report the genus-level classification of these three novel strains via a polyphasic approach, using phylogenetic analysis, colony and cell morphology, and WGS. The strain FJI-L9-BK-P1 isolated from the Jet Propulsion Laboratory Spacecraft Assembly Facility (JPL-SAF) exhibited a loosely-associated phylogenetic relationship with the strain Aosphaeria arxii CBS175.79 but showed distinct morphology and microscopic features. Another JPL-SAF strain, FJII-L3-CM-DR1, was phylogenetically distinct from members of the family Trichomeriaceae and also exhibited morphologically different features from the genera Lithophyla and Strelitziana. The strain FKI-L1-BK-DR1 isolated from the Kennedy Space Center facility was member of the family Kirschsteiniotheliaceae according to phylogenetic analysis. The polyphasic taxonomic approach supported the recommendation for three novel fungal genera. The names Jayplomyces pasadenensis (FJI-L9-BK-P1T = NRRL B-64424T), Pasadenomyces melaninifex (FJII-L3-CM-DR1T = NRRL B-64433T) and Floridaphiala radiotolerans (FKI-L1-BK-DR1T = NRRL B-64434T) are proposed as holotypes. Furthermore, resistance to Ultraviolet-C (UV-C) and presence of specific biosynthetic gene cluster(s) (BGCs) coding for metabolically active compounds are unique to these strains.
DOI: 10.13140/rg.2.2.20991.07846
title: Red neuronal en PYTHON con una capa oculta y activación ReLu
DOI: 10.5517/ccdc.csd.cc28stfb
title: CCDC 2109222: Experimental Crystal Structure Determination

description: Related Article: Juan Zhu, Zhao-Yang Liu, Shuang-bao Li, He Huang, Bao-Xu Jiang, Yu-Teng Zhang|2022|CrystEngComm|24|475|doi:10.1039/D1CE01418H
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.cc2b7bxv
title: CCDC 2152017: Experimental Crystal Structure Determination

description: Related Article: Andreas Lichtenberg, Markus Zegke, Gary S. Nichol, Aida Raauf, Sanjay Mathur|2023|Dalton Trans.|52|962|doi:10.1039/D2DT01316A
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.cc2b7bzx
title: CCDC 2152019: Experimental Crystal Structure Determination

description: Related Article: Andreas Lichtenberg, Markus Zegke, Gary S. Nichol, Aida Raauf, Sanjay Mathur|2023|Dalton Trans.|52|962|doi:10.1039/D2DT01316A
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.cc2b7c21
title: CCDC 2152022: Experimental Crystal Structure Determination

description: Related Article: Andreas Lichtenberg, Markus Zegke, Gary S. Nichol, Aida Raauf, Sanjay Mathur|2023|Dalton Trans.|52|962|doi:10.1039/D2DT01316A
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.cc2b7c32
title: CCDC 2152023: Experimental Crystal Structure Determination

description: Related Article: Andreas Lichtenberg, Markus Zegke, Gary S. Nichol, Aida Raauf, Sanjay Mathur|2023|Dalton Trans.|52|962|doi:10.1039/D2DT01316A
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.cc2ck9w4
title: CCDC 2191386: Experimental Crystal Structure Determination

description: Related Article: Abhijit Bera, Debobrata Sheet, Tapan Kanti Paine|2023|Dalton Trans.|52|1062|doi:10.1039/D2DT02433K
description: Related Article: ABHIJIT BERA|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.cc2cm7qz
title: CCDC 2193241: Experimental Crystal Structure Determination

description: Related Article: Cristina Ruiz Martínez, Juana M. Pérez, Francisco M. Arrabal-Campos, Antonio Rodríguez-Diéguez, Duane Choquesillo-Lazarte, Juan A. Martínez-Lao, Manuel A. Ortuño, Ignacio Fernández|2023|Polym.Chem.|14|452|doi:10.1039/D2PY01076C
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.cc2cm7r0
title: CCDC 2193242: Experimental Crystal Structure Determination

description: Related Article: Cristina Ruiz Martínez, Juana M. Pérez, Francisco M. Arrabal-Campos, Antonio Rodríguez-Diéguez, Duane Choquesillo-Lazarte, Juan A. Martínez-Lao, Manuel A. Ortuño, Ignacio Fernández|2023|Polym.Chem.|14|452|doi:10.1039/D2PY01076C
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.7565566
title: Mortality data Frankfurt / Main 2016 to 2021

description: The data of death cases were compiled by the hessian statistical office (HSL) and made available to the state health office (HLPUG), which provided the data to the authors. The data include death reports only of people residing in Frankfurt / Main (Germany) who had died in Hesse in the years 2016 to 2021. For 35,400 death cases from Frankfurt / Main, three variables are included: date of death, sex (male=1, female=2), age at death
DOI: 10.5281/zenodo.7565565
title: Mortality data Frankfurt / Main 2016 to 2021

description: The data of death cases were compiled by the hessian statistical office (HSL) and made available to the state health office (HLPUG), which provided the data to the authors. The data include death reports only of people residing in Frankfurt / Main (Germany) who had died in Hesse in the years 2016 to 2021. For 35,400 death cases from Frankfurt / Main, three variables are included: date of death, sex (male=1, female=2), age at death
DOI: 10.6084/m9.figshare.21948524
title: "Cross-reactivity influences changes in human influenza A virus (IAV) and Epstein Barr virus-(EBV) specific CD8 memory T cell receptor (TCR) alpha and beta repertoires between young and old"

description: The dataset contains Adaptive ImmunoSEQ data for human T Cell Receptors as described in the manuscript "Cross-reactivity influences changes in human influenza A virus (IAV) and Epstein Barr virus-(EBV) specific CD8 memory T cell receptor (TCR) alpha and beta repertoires between young and old" by Fransenio Clark, Anna Gil, Ishwor Thapa, Nuray Aslan, Dario Ghersi, Liisa Kaarina Selin.
DOI: 10.5281/zenodo.7422513
title: Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population

description: The accompanying data and code release for the analyses presented in "Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population". See the github paper repository at https://github.com/bruce-edelman/CoveryingYourBasis and the arxiv release of the paper at: https://arxiv.org/abs/2210.12834
DOI: 10.5281/zenodo.7422514
title: Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population

description: The accompanying data release for the analyses presented in "Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population". See the github paper repository at https://github.com/bruce-edelman/CoveryingYourBasis and the arxiv release of the paper at: https://arxiv.org/abs/2210.12834
DOI: 10.5281/zenodo.7566301
title: Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population

description: The accompanying data and code release for the analyses presented in "Cover Your Basis: Comprehensive Data-Driven Characterization of the Binary Black Hole Population". See the github paper repository at https://github.com/bruce-edelman/CoveryingYourBasis and the arxiv release of the paper at: https://arxiv.org/abs/2210.12834