cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fn7zb
title: CCDC 2253792: Experimental Crystal Structure Determination

description: Related Article: Anastasiya Soldatenko, Irina Sterkhova, Maksim Molokeev, Alexander Albanov, Andrey Zolotov, Nataliya Lazareva|2023|J.Organomet.Chem.|997|122777|doi:10.1016/j.jorganchem.2023.122777
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.8220138
title: Dataset and R script: a longitudinal hospital study of febrile children in Ghana

description: This is the dataset and R script accompanying the manuscript "Fever in focus: symptoms, diagnoses, and treatment of febrile children in Ghana, a longitudinal hospital study."
DOI: 10.5281/zenodo.8220137
title: Dataset and R script: a longitudinal hospital study of febrile children in Ghana

description: This is the dataset and R script accompanying the manuscript "Fever in focus: symptoms, diagnoses, and treatment of febrile children in Ghana, a longitudinal hospital study."
DOI: 10.34740/kaggle/dsv/6262277
title: Health Workforce Shortage Areas
DOI: 10.26050/wdcc/ar6.c6spnccnl
title: IPCC DDC: NCC NorESM2-LM model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.NCC.NorESM2-LM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6spnccn2
title: IPCC DDC: NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.NCC.NorESM2-MM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5517/ccdc.csd.cc2d07m9
title: CCDC 2204770: Experimental Crystal Structure Determination

description: Related Article: Carley Giffert L Nongpiur, Charlestine Soh, Danny F Diengdoh, Akalesh Kumar Verma, Renu Gogoi, Venkanna Banothu, Werner Kaminsky, Mohan Rao Kollipara|2023|J.Organomet.Chem.|998|122788|doi:10.1016/j.jorganchem.2023.122788
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: 10.20375/0000-0010-05bd-4
title: SentiMhd – ein Sentiment-Wörterbuch für das Mittelhochdeutsche
DOI: 10.20375/0000-0010-05be-3
title: SentiMhd.txt
DOI: 10.5281/zenodo.7313388
title: Dataset of CO2 at the ocean surface layer

description: CO2 Data used in a submitted publication.
DOI: 10.5281/zenodo.7313387
title: Dataset of CO2 at the ocean surface layer

description: CO2 Data used in a submitted publication.
DOI: 10.5517/ccdc.csd.cc2f3vkz
title: CCDC 2238031: Experimental Crystal Structure Determination

description: Related Article: Youness El Bakri, Atazaz Ahsin, Shaaban K. Mohamed, Etify A. Bakhite, Osama Younis, Safiyyah A.H. Al-Waleedy, Islam S. Marae, Joel T. Mague|2023|J.Mol.Struct.|1292|136168|doi:10.1016/j.molstruc.2023.136168
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: 10.4121/9e289896-3ac3-4194-9079-3265a5f49d6a
title: Data underlying the publication: Heterogeneous swelling of an isotropically compacted bentonite-based material: experimental observations and modelling

description: The swelling behaviour of an isotropically compacted sample subjected to water infiltration was investigated. The material used in this study was a mixture of Wyoming MX-80 bentonite (commercially known as WH2 Gelclay) and quartz sand with a respective proportion of 70/30 in dry mass. In order to follow the hydromechanical state of the sample during hydration, the total vertical pressure and the injected water volume were recorded over time. The cell was also equipped with four total radial pressure sensors placed at different heights of the sample. The dataset contains the injected water volume, total vertical pressure and radial pressures over time.
DOI: 10.4121/9e289896-3ac3-4194-9079-3265a5f49d6a.v1
title: Data underlying the publication: Heterogeneous swelling of an isotropically compacted bentonite-based material: experimental observations and modelling

description: The swelling behaviour of an isotropically compacted sample subjected to water infiltration was investigated. The material used in this study was a mixture of Wyoming MX-80 bentonite (commercially known as WH2 Gelclay) and quartz sand with a respective proportion of 70/30 in dry mass. In order to follow the hydromechanical state of the sample during hydration, the total vertical pressure and the injected water volume were recorded over time. The cell was also equipped with four total radial pressure sensors placed at different heights of the sample. The dataset contains the injected water volume, total vertical pressure and radial pressures over time.
DOI: 10.6084/m9.figshare.23898687
title: Tea farmer data & analysis

description: Tea farmer data & analysis
DOI: 10.6084/m9.figshare.23898687.v1
title: Tea farmer data & analysis

description: Tea farmer data & analysis
DOI: 10.5281/zenodo.8218024
title: nf-core/airrflow TCR benchmarking data

description: Simulated TCR sequencing data for benchmarking nf-core/airrflow
DOI: 10.5281/zenodo.8218023
title: nf-core/airrflow TCR benchmarking data

description: Simulated TCR sequencing data for benchmarking nf-core/airrflow
DOI: 10.14278/rodare.199
title: X2 benchmark specification dataset

description: The X2 VVER-1000 benchmark specification dataset.<br> - version 1.0: original dataset<br> - version 1.1: added results template for the Control Cor Ejection exercise.
DOI: 10.18154/rwth-2020-02105
title: Speech Material for a Paradigm on the Intentional Switching of Auditory Selective Attention

description: German digits/number words in combination with a direction word are used in a task to investigate the intentional switching of auditory selective attention. Stimuli are adjusted in length and loudness to satisfy the task's requirements of a synchronous presentation of two stimuli by speakers of opposite gender.
DOI: 10.5286/isis.e.rb1910567
title: Spectroscopy of muon centres in n-type silicon carbide

description: We propose to continue laser spectroscopy measurements of the muonium (Mu-) centres in n-type doped silicon carbide. Scanning a wide wavelength range, and changing the relative timing of the muon and laser pulses, should allow us to distinguish direct muonium centre ionisation from other absorption bands within the band gap which result in free minority carriers (holes). Any peaks or absorption edges can be followed as a function of temperature, giving a direct measure of the energy levels involved.
DOI: 10.5287/ora-aownkwvym
title: Active Learning Implementation

description: Active Learning of Abstract System Models from Traces: An active learning framework for generating concise abstractions of a system implementation, instrumented to track a set of system variables. Generated abstractions admit all system traces defined over the set of system variables.
DOI: 10.11583/dtu.13135754.v1
title: Input-output power spectral densities for three C-band EDFAs and four multi-span inline EDFAd fiber optic systems of different lengths

description: Scripts to read the data into Matlab are available here:https://github.com/myankov/EDFA-data-reading-scripts/<br>The datasets contains metadata, such as:1) unique ID of PSD profile2) unique ID of physical amplifier3) Total input and output power recordings of each EDFA4) unique ID of the multi-span system, indicating the order of the EDFAs, as well as the fiber span lengths<br>As well as PSDs readings from an OSA for the input PSD and the output PSD at the OSA wavelengths. <br>
DOI: 10.5281/zenodo.5553923
title: DIALLS Dataset of evaluations of Open Educational Resources – The Cultural Literacy Learning Programme resources

description: This dataset was used to support the development of the DIALLS project’s (Dialogue and Argumentation for cultural Literacy Learning in Schools, www.dialls2020.eu/) teaching and learning materials as open access online educational resources (OER). It consists of quantitative data (i) evaluating the three OER (i.e., professional development (PD) materials, lesson plans (LP), Scale of Progression for Cultural Literacy Learning (SPCLL)) and (ii) assessing the discussion forum as a platform for building a DIALLS community of practice. <em> N</em> = 140 teachers from Germany, UK, Portugal, and Israel participated in the surveys over the course of six months (September 2020 to February 2021). For each country, there are four datasets from the surveys. For data collection, the surveys have been translated into the partner countries’ language, open feedback is translated from the respective languages and now in English (i.e., Translation from German, English, Portuguese, Hebrew). Based on Kirkpatrick and Kirkpatrick’s (2006) evaluation model and the Value Creation Framework (VCF) (Wenger et al., 2011), the surveys have been developed and the discussion forum designed. From this, items regarding the materials’ application, content, design, and value were included in the assessment of the quality of PD materials, lesson plans, and SPCLL. The quality of the discussion forum was assessed regarding its motivation, participation, topic, and value. Considering the context, the dataset is relevant to the following areas of research: Communities of Practice, OER, Teachers’ professional development. The dataset is organised in 1 file (merged quantitative data from all four surveys and all four partners). A detailed description of the dataset can be accessed in a PDF file. Further, the provided codebook in the "variable view window" in SPSS explains the variables and values.
DOI: 10.5281/zenodo.8075062
title: Source code: Bilateral human laryngeal motor cortex in perceptual decision of lexical tone and voicing of consonant

description: Source code (and data) for the paper <em>Bilateral Human Laryngeal Motor Cortex in Perceptual Decision of Lexical Tone and Voicing of Consonant</em>. Exp1_datacollection.zip:code for data collection in Experiment 1. Exp2_datacollection.zip: code for data collection in Experiment 2. codes_for_dataprocess.zip:data processing code and source data. Exp1 and Exp2 collection codes are provided for reference, but for practice, due to copyright and software environment issues, please contact Baishen (liangbs@psych.ac.cn, liangbs95@gmail.com) for technical assistant.
DOI: 10.15128/r1qr46r0844
title: The Raspberry Pi Auto-aligner: Machine Learning for Automated Alignment of Laser Beams [dataset]

description: We present a novel solution to automated beam alignment optimization. This device is based on a Raspberry Pi computer, stepper motors, commercial optomechanics and electronic devices, and the open-source machine learning algorithm M-LOOP. We provide schematic drawings for the custom hardware necessary to operate the device and discuss diagnostic techniques to determine the performance. The beam auto-aligning device has been used to improve the alignment of a laser beam into a single-mode optical fiber from manually optimized fiber alignment, with an iteration time of typically 20 minutes. We present example data of one such measurement to illustrate device performance.
DOI: 10.15129/b312473f-1d2d-4104-a2d9-0014edf191bd
title: Data for: "Neuromorphic encoding of image pixel data into rate-coded optical spike trains with a photonic VCSEL-neuron"

description: Raw measurement data, source data and metadata for the article "Neuromorphic encoding of image pixel data into rate-coded optical spike trainswith a photonic VCSEL-neuron".
DOI: 10.17034/ef3ff864-78d3-4ce4-9c0f-fec7b4c408a0
title: Spatial and temporal Waveform A and B loading and material data for lightning strike simulations based on converged FE Meshes

description: Dataset containing loading and material data for the simulation of lightning strike damage on carbon/epoxy composites. The dataset can be used to load specimens with either Waveform A or B loading conditions. The loading data is designed to be used with the provided finite element (FE) meshes. The dataset is also designed for use with ABAQUS. However, adaptation to other FE packages is possible but this may require some user adjustment to the format in which the data is currently presented. Material data for IM600/133 has also been provided to allow the user to attempt to replicate these published works. This dataset includes the specimen surface loading for both Waveform A and B lightning strike simulations. These datasets have been used in and generated by both COMSOL Multiphysics and ABAQUS. Readers are directed to the supporting information for interpretation of the listed data.
DOI: 10.17632/x6xwvb2r9r.1
title: Validation of Early Design Stage EnergyPlus Model for Office Building

description: This dataset is used to validate EnergyPlus prediction against the real data. The selected office building is located near Munich (Regensburg). The total floor area of the building is 1200 sq. m. with rectangular floor plan of dimensions of 14.7×27 m. The building has three floors and floor-to-floor height of 3.25 m. The actual heating and cooling energy consumption has been recored for two year 2017 and 2018. We have developed an early stage EnergyPlus model using ASHRAE core and perimeters zones division with the perimeter depth of 4.5 m. The simulation results shows an energy requirement of 44.3 MWh/a against the actual average energy consumption of 43.97 MWh/a. I would like to express my deep gratitude to Institute of Energy Efficient and Sustainable Design and Building, Technical University, Munich (TUM) and Ferdinand Tausendpfund GmbH & Co. KG for providing the energy consumption and design data for Tausendpfund building.
DOI: 10.5281/zenodo.2704788
title: Multidimensional photoemission spectra of tungsten diselenide

description: Pump-probe multidimensional photoemission spectroscopy (MPES) of tungsten diselenide (WSe2) measured using an electron momentum microscope at the FLASH Free Electron Laser. This is an example file for data standardization of MPES and has been linked to the publication (https://doi.org/10.1063/1.5118777).
DOI: 10.5281/zenodo.4150011
title: Estimating Reciprocal Partition Functions to Enable Design Space Sampling

description: Paper abstract: Reaction rates are a complicated function of molecular interactions, which can be selected from vast chemical design spaces. Seeking the design that optimizes a rate is a particularly challenging problem since the rate calculation for any one design is itself a difficult computation. Toward this end, we demonstrate a strategy based on transition path sampling to generate an ensemble of designs and reactive trajectories with a preference for fast reaction rates. Each step of the Monte Carlo procedure requires a measure of how a design constrains molecular configurations, expressed via the reciprocal of the partition function for the design. Though the reciprocal of the partition function would be prohibitively expensive to compute, we apply Booth’s method for generating unbiased estimates of a reciprocal of an integral to sample designs without bias. A generalization with multiple trajectories introduces a stronger preference for fast rates, pushing the sampled designs closer to the optimal design. We illustrate the methodology on two toy models of increasing complexity: escape of a single particle from a Lennard-Jones potential well of tunable depth and escape from a metastable tetrahedral cluster with tunable pair potentials. Notes: This .zip contains the source code, analysis scripts, and figure generation scripts for all the results in the paper. Paper link: https://arxiv.org/abs/1911.08535
DOI: 10.5281/zenodo.4737896
title: Data, analysis scripts, and simulations files for "An all-digital associated particle imaging system for the 3D determinationof isotopic distributions"

description: Measured data and analysis script, as well as, simulated data, and input scripts for our publication "Achieving high resolution with an all-digital associated particle imaging system for the 3D determination of isotopic distributions" v2: Added 6 missing files to https://doi.org/10.5281/zenodo.4008740. v3: Added simulation data for instrument resolution
DOI: 10.5286/isis.e.rb1869024
title: In-situ and simultaneous SANS and ND to study the precipitation and phase transformation kinetics in V-containing Nano-steels

description: Nano-steels are a new generation of Advanced High-Strength Steels, which are used in the automotive industry to reduce vehicle weight and thereby improve the fuel economy and/or the range of electric vehicles. These steels have high strength combined with high formability in order to make light-weight and complex shapes such as the suspension of the car. Nano-steels consist of extremely small Nano-particles. These Nano-particles may form in beautifully ordered rows in steel as if someone lays down tiny little marbles in a soft cushion with great precision and attention for detail. Humans cannot see these tiny little marbles that are hidden in the cushion with the naked eye. Therefore, our key objective is to look with neutrons inside the cushion and observe how nature puts the marbles in place. In steel this takes place at high temperatures, so we have built a new furnace to do that.
DOI: 10.5287/bodleian:dq9jjpxg5
title: Light-matter interaction in open cavities with dielectric stacks