cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29xfwk
title: CCDC 2142499: Experimental Crystal Structure Determination

description: Related Article: Zhi Wang, Li Li, Lei Feng, Zhi-Yong Gao, Chen-Ho Tung, Lan-Sun Zheng, Di Sun|2022|Angew.Chem.,Int.Ed.|61|e202200823|doi:10.1002/anie.202200823
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.cc29xfxl
title: CCDC 2142500: Experimental Crystal Structure Determination

description: Related Article: Zhi Wang, Li Li, Lei Feng, Zhi-Yong Gao, Chen-Ho Tung, Lan-Sun Zheng, Di Sun|2022|Angew.Chem.,Int.Ed.|61|e202200823|doi:10.1002/anie.202200823
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.cc29xfym
title: CCDC 2142501: Experimental Crystal Structure Determination

description: Related Article: Zhi Wang, Li Li, Lei Feng, Zhi-Yong Gao, Chen-Ho Tung, Lan-Sun Zheng, Di Sun|2022|Angew.Chem.,Int.Ed.|61|e202200823|doi:10.1002/anie.202200823
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.cc29xfzn
title: CCDC 2142502: Experimental Crystal Structure Determination

description: Related Article: Zhi Wang, Li Li, Lei Feng, Zhi-Yong Gao, Chen-Ho Tung, Lan-Sun Zheng, Di Sun|2022|Angew.Chem.,Int.Ed.|61|e202200823|doi:10.1002/anie.202200823
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.cc2b8fmp
title: CCDC 2153062: Experimental Crystal Structure Determination

description: Related Article: Zhi Wang, Li Li, Lei Feng, Zhi-Yong Gao, Chen-Ho Tung, Lan-Sun Zheng, Di Sun|2022|Angew.Chem.,Int.Ed.|61|e202200823|doi:10.1002/anie.202200823
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.6827974
title: Receiver_functions_colombia

description: Receiver functions dataset for northwestern South America, Colombia.
DOI: 10.5517/ccdc.csd.cc2b8fnq
title: CCDC 2153063: Experimental Crystal Structure Determination

description: Related Article: Zhi Wang, Li Li, Lei Feng, Zhi-Yong Gao, Chen-Ho Tung, Lan-Sun Zheng, Di Sun|2022|Angew.Chem.,Int.Ed.|61|e202200823|doi:10.1002/anie.202200823
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.6827973
title: Receiver_functions_colombia

description: Receiver functions dataset for northwestern South America, Colombia.
DOI: 10.13020/bws2-z620
title: Data resources on Academic LibGuides
DOI: 10.6084/m9.figshare.20301639.v1
title: ISMB BioVis 2022 Data

description: Data to rerun notebooks (https://github.com/flekschas-ozette/ismb-biovis-2022) related to my ISMB BioVis 2022 talk. The data is from Mair et al., 2022, Nature (https://www.nature.com/articles/s41586-022-04718-w).
DOI: 10.6084/m9.figshare.20301639
title: ISMB BioVis 2022 Data

description: Data to rerun notebooks (https://github.com/flekschas-ozette/ismb-biovis-2022) related to my ISMB BioVis 2022 talk. The data is from Mair et al., 2022, Nature (https://www.nature.com/articles/s41586-022-04718-w).
DOI: 10.5255/ukda-sn-855828
title: Prisons, Prison Officers and Prisoners' Families, 2021

description: The Families – Inside Prison and Out project at the University of Strathclyde involved research with prison officers in Scotland whose roles involved working with, or related to, families of people in prison. The project ran from October 2020 – December 2021 and the research took place between April and September 2021, involving ten semi-structured interviews with prison officers working across five prisons in Scotland. These prisons held male and female prisoners, young people, and those serving short, long and life sentences as well as the open estate. The interviews explored the prison officers' understanding and operationalisation of the Scottish Prison Service Family Strategy 2017-2022.
DOI: 10.5281/zenodo.6828156
title: Eupsittula aurea zanfona 1

description: .
DOI: 10.5281/zenodo.6828155
title: Eupsittula aurea zanfona 1

description: .
DOI: 10.6084/m9.figshare.20102000
title: Raw datafiles - Early-life adversity predicts performance and fitness in a wild social carnivore

description: Datafiles are the available data on performance and fitness measures of spotted hyenas, environmental predictors and cumulative early-life adversity.
DOI: 10.5281/zenodo.5719432
title: United States tornado reports in landfalling tropical cyclones used in Paredes et al. (2021)

description: These data include all tropical cyclone tornado reports used in Paredes et al. (2021) plus an additional year (e.g., 2020). These data will not be updated regularly. For the latest version, users should refer to https://www.spc.noaa.gov/misc/edwards/TCTOR/ or contact roger.edwards@noaa.gov.<br> <br> Each specific tropical cyclone tornado record has been extracted from the broader Storm Prediction Center tornado database, for all Atlantic and Gulf of Mexico tropical cyclones to affect the continental United States from 1995–2020. The tornado records were analyzed individually to determine their presence within the circulation envelope of either a classified or remnant tropical cyclone, without regard to fixed radii from tropical cyclone center, inland extent, temporal cutoffs before or after landfall, or other such arbitrary thresholds that may either exclude tropical cyclone events or include non-tropical cyclone tornadoes unnecessarily. Unlike other climatologies previously published in the literature, the chosen time period for this examination essentially covers only the full national deployment of the WSR-88D radar network in the United States. This permits consistent comparisons of a very large sample size of tropical cyclone tornado events (&gt;1600) during the era of modernized National Weather Service warning and verification practices.
description: Please contact Ben Schenkel (benschenkel@gmail.com) for questions about the data on Zenodo. These data will not be kept up to date. Please refer to https://www.spc.noaa.gov/misc/edwards/TCTOR/ or contact roger.edwards@noaa.gov for the latest data.
description: {"references": ["Edwards, Roger (2010). Tropical cyclone tornado records for the modernized National Weather Service era. In Proc., 25th conf. on severe local storms (P3.1). Denver, CO."]}
DOI: 10.5281/zenodo.6828213
title: 16S metabarcoding tutorial

description: Tutorial for the analysis of 16S rRNA metabarcoding sequences using the MiSeq SOP pipeline. https://github.com/AndresICM/16S-rRNA-Metabarcoding-analysis
DOI: 10.5281/zenodo.6828212
title: 16S metabarcoding tutorial

description: Tutorial for the analysis of 16S rRNA metabarcoding sequences using the MiSeq SOP pipeline. https://github.com/AndresICM/16S-rRNA-Metabarcoding-analysis
DOI: 10.6084/m9.figshare.20301729
title: A burtoni - Female Master Datasheet

description: The excel spreadsheet has two tabs which can be imported into R and combined. The R code (R notebook) has all the code for plotting and statistics.
DOI: 10.6084/m9.figshare.20301729.v1
title: A burtoni - Female Master Datasheet

description: The excel spreadsheet has two tabs which can be imported into R and combined. The R code (R notebook) has all the code for plotting and statistics.
DOI: 10.5281/zenodo.6826628
title: Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider: calo-image datasets for the standard model

description: An example calo-image dataset used in the paper: standard model. Each shard is named `calo-image_sm_${DATASET}_${INDEX}.tar.gz`. Each contains one data file. DATASET is in {train,test,private_test} to label the three independent splits for training, validation, and testing respectively. INDEX labels separate batches which should be trivially combined. Each data file is in h5 format. Its data are under the key "entries" as an array with shape (n, 32, 32) corresponding to (event_index, eta, phi) for the n calorimeter images in an unrolled eta--phi surface.
DOI: 10.5281/zenodo.6826627
title: Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider: calo-image datasets for the standard model

description: An example calo-image dataset used in the paper: standard model. Each shard is named `calo-image_sm_${DATASET}_${INDEX}.tar.gz`. Each contains one data file. DATASET is in {train,test,private_test} to label the three independent splits for training, validation, and testing respectively. INDEX labels separate batches which should be trivially combined. Each data file is in h5 format. Its data are under the key "entries" as an array with shape (n, 32, 32) corresponding to (event_index, eta, phi) for the n calorimeter images in an unrolled eta--phi surface.
DOI: 10.5281/zenodo.6823457
title: Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider: calo-image datasets for lambdaPV=1

description: An example calo-image dataset used in the paper: PV-mSME with lambdaPV=1. Each shard is named `calo-image_pv_msme_1_${DATASET}_${INDEX}.tar.gz`. Each contains one data file. DATASET is in {train,test,private_test} to label the three independent splits for training, validation, and testing respectively. INDEX labels separate batches which should be trivially combined. Each data file is in h5 format. Its data are under the key "entries" as an array with shape (n, 32, 32) corresponding to (event_index, eta, phi) for the n calorimeter images in an unrolled eta--phi surface.
DOI: 10.5281/zenodo.6823456
title: Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider: calo-image datasets for lambdaPV=1

description: An example calo-image dataset used in the paper: PV-mSME with lambdaPV=1. Each shard is named `calo-image_pv_msme_1_${DATASET}_${INDEX}.tar.gz`. Each contains one data file. DATASET is in {train,test,private_test} to label the three independent splits for training, validation, and testing respectively. INDEX labels separate batches which should be trivially combined. Each data file is in h5 format. Its data are under the key "entries" as an array with shape (n, 32, 32) corresponding to (event_index, eta, phi) for the n calorimeter images in an unrolled eta--phi surface.
DOI: 10.5517/ccdc.csd.cc2992rg
title: CCDC 2123895: Experimental Crystal Structure Determination

description: Related Article: Ze-Shu Wang, Lu-Jing Zhu, Cui-Ting Li, Bin-Yang Liu, Xin Hong, Long-Wu Ye|2022|Angew.Chem.,Int.Ed.|61|e202201436|doi:10.1002/anie.202201436
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.cc29931s
title: CCDC 2123904: Experimental Crystal Structure Determination

description: Related Article: Ze-Shu Wang, Lu-Jing Zhu, Cui-Ting Li, Bin-Yang Liu, Xin Hong, Long-Wu Ye|2022|Angew.Chem.,Int.Ed.|61|e202201436|doi:10.1002/anie.202201436
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.cc29932t
title: CCDC 2123905: Experimental Crystal Structure Determination

description: Related Article: Ze-Shu Wang, Lu-Jing Zhu, Cui-Ting Li, Bin-Yang Liu, Xin Hong, Long-Wu Ye|2022|Angew.Chem.,Int.Ed.|61|e202201436|doi:10.1002/anie.202201436
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.cc2995ld
title: CCDC 2123983: Experimental Crystal Structure Determination

description: Related Article: Ze-Shu Wang, Lu-Jing Zhu, Cui-Ting Li, Bin-Yang Liu, Xin Hong, Long-Wu Ye|2022|Angew.Chem.,Int.Ed.|61|e202201436|doi:10.1002/anie.202201436
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.cc29fmp2
title: CCDC 2128264: Experimental Crystal Structure Determination

description: Related Article: Chenguang Liu, Mingyang Wang, Yihan Xu, Yibiao Li, Qiang Liu|2022|Angew.Chem.,Int.Ed.|61|e202202814|doi:10.1002/anie.202202814
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.cc29gl2g
title: CCDC 2129175: Experimental Crystal Structure Determination

description: Related Article: Kunal Kumar, Olaf Stefanczyk, Szymon Chorazy, Koji Nakabayashi, Shin-ichi Ohkoshi|2022|Angew.Chem.,Int.Ed.|61|e202201265|doi:10.1002/anie.202201265
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.cc29gl3h
title: CCDC 2129176: Experimental Crystal Structure Determination

description: Related Article: Kunal Kumar, Olaf Stefanczyk, Szymon Chorazy, Koji Nakabayashi, Shin-ichi Ohkoshi|2022|Angew.Chem.,Int.Ed.|61|e202201265|doi:10.1002/anie.202201265
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.cc29gl4j
title: CCDC 2129177: Experimental Crystal Structure Determination

description: Related Article: Kunal Kumar, Olaf Stefanczyk, Szymon Chorazy, Koji Nakabayashi, Shin-ichi Ohkoshi|2022|Angew.Chem.,Int.Ed.|61|e202201265|doi:10.1002/anie.202201265
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.cc29gl5k
title: CCDC 2129178: Experimental Crystal Structure Determination

description: Related Article: Kunal Kumar, Olaf Stefanczyk, Szymon Chorazy, Koji Nakabayashi, Shin-ichi Ohkoshi|2022|Angew.Chem.,Int.Ed.|61|e202201265|doi:10.1002/anie.202201265
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.cc29gl6l
title: CCDC 2129179: Experimental Crystal Structure Determination

description: Related Article: Kunal Kumar, Olaf Stefanczyk, Szymon Chorazy, Koji Nakabayashi, Shin-ichi Ohkoshi|2022|Angew.Chem.,Int.Ed.|61|e202201265|doi:10.1002/anie.202201265
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.cc29gl7m
title: CCDC 2129180: Experimental Crystal Structure Determination

description: Related Article: Kunal Kumar, Olaf Stefanczyk, Szymon Chorazy, Koji Nakabayashi, Shin-ichi Ohkoshi|2022|Angew.Chem.,Int.Ed.|61|e202201265|doi:10.1002/anie.202201265
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.cc29gl8n
title: CCDC 2129181: Experimental Crystal Structure Determination

description: Related Article: Kunal Kumar, Olaf Stefanczyk, Szymon Chorazy, Koji Nakabayashi, Shin-ichi Ohkoshi|2022|Angew.Chem.,Int.Ed.|61|e202201265|doi:10.1002/anie.202201265
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.cc29gxyn
title: CCDC 2129512: Experimental Crystal Structure Determination

description: Related Article: Chenguang Liu, Mingyang Wang, Yihan Xu, Yibiao Li, Qiang Liu|2022|Angew.Chem.,Int.Ed.|61|e202202814|doi:10.1002/anie.202202814
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.6824255
title: SMILES Supplemental Data

description: Small-volume Monogenetic Igneous Landforms and Edifices Statistics (SMILES) Supplemental Materials for publication. This database collects the morphometry and location for of monogenetic volcanic landforms on Earth. SMILES specifically focuses on identifying dimensionless parameters to aid in remote sensing of volcanic landforms.
DOI: 10.17632/mhx5kvtj97.1
title: Experimental data for Power Production Using a Batch Double-Chamber Microbial Fuel Cell from Brewery Wastewater: Effects of Electron Acceptors

description: This experimental data mainly focused on  Power Production Using a Batch Double-Chamber Microbial Fuel Cell from Brewery Wastewater: Effects of Electron Acceptors
DOI: 10.17632/9ndz5b9ccv.3
title: Motrol 1.5

description: This project describes how to construct a device that will automate the proposed process to run benchmarking/profiling tests in mobile devices
DOI: 10.5281/zenodo.6828205
title: Amazona autumnalis zanfona 1

description: .
DOI: 10.5281/zenodo.6828204
title: Amazona autumnalis zanfona 1

description: .
DOI: 10.5255/ukda-sn-855551
title: Current State of the Art and Use Case Description on Geofencing for Traffic Management, 2021

description: The data included in this report is a result of a literature review and document gathering focused on geofence use cases specific for road traffic management. It presents geofence use cases that are trialled or to be trialled, implemented use cases, as well as conceptual and potential future use cases, showing for which type of transport they are used and how geofence zones are applied or to be applied. The report was conducted in the project GeoSence – Geofencing strategies for implementation in urban traffic management and planning. It is a Joint programme initiative (JPI) Urban Europe project funded by European Union s Horizon 2020, under ERA-NET Cofund Urban Accessibility and Connectivity and gather project partners from Germany, Norway, Sweden and UK. The goal is to present the current state of art, and describe use cases, based on the working definition of geofencing in the project, where geofence is defined as a virtual geographically located boundary, statically or dynamically defined. The study shows that for implemented and real-traffic trial use case, geofencing has been applied within private car transport, shared micro-mobility, freight and logistics, public bus transportation and ridesourcing. For the future use cases, geofencing has been tested or conceptually developed also for automated vehicles and shared automated mobility, among others. The report summarises main use cases and find them to answering to especially four challenges in traffic management: safety, environment, efficiency, and tracking and data collection. Some of the use cases however answer to several of these challenges, such as differentiated road charging, and the use cases in micro-mobility. Further, the system and functionality of the trialled and/or implemented use cases, show different types of regulation geofence use cases can be used for, from informing, assisting, full enforcement, incentivising and penalisation. Guidelines and recommendations so far form national authorities show that the existence of joint regulation or guidelines for the use of geofencing for different use cases is low – with some exceptions. Digital representation of traffic regulation will be crucial for enabling geofencing.