cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48567/dgtf-bf89
title: Emilia Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/7624-ht13
title: Eric Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/a9nj-0j03
title: Erin Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/a9cy-8c24
title: Ferrell Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/cbyg-qw06
title: Fossil Bluff Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/nayq-t971
title: Gill Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/sdn3-7863
title: Harry Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/wckf-r804
title: Henry Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/xsdv-m438
title: Hugo Island Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/kh8p-z685
title: JASE2007 Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/c9mw-yx84
title: Kominko-Slade Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/gman-5s06
title: Larsen Ice Shelf Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/f1cw-zq27
title: Laurie II Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/4n5m-pk37
title: Lettau Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/80q0-5811
title: Limbert Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/enrm-tf72
title: Linda Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/kdmj-7t11
title: Lorne Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/hd0d-1e50
title: Manuela Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/5r62-gb67
title: Marble Point Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/535d-dx07
title: Margaret Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/btkk-7173
title: Marilyn Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/gzng-4e80
title: Mary Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/j5sd-tx75
title: Minna Bluff Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/wxtr-gw05
title: Mizuho Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/b467-w765
title: Mount Fleming Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/ah42-x258
title: Mount Siple Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/n880-ee96
title: Mulock Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/hwxf-my23
title: Nico Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/2w9p-wp79
title: PANDA-South Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/hgmh-mg53
title: Pegasus North Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/zjxz-bh53
title: Pegasus South Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/3dz9-1972
title: Possession Island Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/rcxb-cg65
title: Sabrina Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/f1zv-ee61
title: Schwerdtfeger Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/4br6-me32
title: Siple Dome Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/6rn6-n661
title: Sky Blu Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/gb6z-4152
title: Swithinbank Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/xsrp-cg40
title: Theresa Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/mhz2-w126
title: Vito Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/hkcp-nh16
title: Willie Field Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.48567/vgkf-p627
title: Windless Bight Automatic Weather Station, 2009 Reader format three-hour observational data.
DOI: 10.6084/m9.figshare.20452506.v1
title: Content Analysis of Student Reflections of the MSGR Course 2019

description: Content analysis of student reflections of the MSGR course 2019
DOI: 10.6084/m9.figshare.20452506
title: Content Analysis of Student Reflections of the MSGR Course 2019

description: Content analysis of student reflections of the MSGR course 2019
DOI: 10.6084/m9.figshare.20452500
title: Content Analysis of Student Feedback of Course Weaknesses of the MSGR Course 2019

description: Content analysis of student feedback of course weaknesses 2019
DOI: 10.6084/m9.figshare.20452500.v1
title: Content Analysis of Student Feedback of Course Weaknesses of the MSGR Course 2019

description: Content analysis of student feedback of course weaknesses 2019
DOI: 10.6084/m9.figshare.20452473
title: Content Analysis of Student Feedback of Course Strengths of the MSGR Course 2019

description: Content analysis of student feedback of course strengths 2019
DOI: 10.6084/m9.figshare.20452473.v1
title: Content Analysis of Student Feedback of Course Strengths of the MSGR Course 2019

description: Content analysis of student feedback of course strengths 2019
DOI: 10.34740/kaggle/dsv/4045793
title: Tales from the Pizza Guy
DOI: 10.18112/openneuro.ds001420.v1.2.0
title: [11C]DASB PET Cimbi database example
DOI: 10.18112/openneuro.ds003644.v1.0.0
title: Dallas Lifespan Brain Study
DOI: 10.34740/kaggle/dsv/4045817
title: Distrinet-CIC-IDS2017
DOI: 10.6084/m9.figshare.20418384
title: Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN (Pre-trained Model)

description: MICCAI 2022; AID-SRGAN
DOI: 10.6084/m9.figshare.20418036
title: Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN (Dataset)

description: MICCAI 2022; AID-SRGAN
DOI: 10.6084/m9.figshare.20418036.v2
title: Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN (Dataset)

description: MICCAI 2022; AID-SRGAN
DOI: 10.6084/m9.figshare.20452560
title: Dataset: The Problem with Pressures for Christians

description: An open dataset of (<em>N</em>=828) students from Christian and secular environments with data values for perceptions of religious pressures, religious doubts, religious/spiritual relatedness, and religious/spiritual self-mastery. This dat is available under a CC0 license.
DOI: 10.5281/zenodo.6975468
title: Crax fasciolata SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6975467
title: Crax fasciolata SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6138077
title: Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures

description: All data files and figures generated for the paper "Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling". The code used to generate this is archived at zenodo.org/record/6123254
DOI: 10.5281/zenodo.4551286
title: Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures

description: All data files and figures generated for the paper "Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling". The code used to generate this is archived at zenodo.org/record/6123254
DOI: 10.5281/zenodo.6975536
title: Dataset for "Long-wavelength pulse generation via light-sail backscattering"

description: Dataset for "Long-wavelength pulse generation via light-sail backscattering", paper submitted to PPCF
DOI: 10.5281/zenodo.6975535
title: Dataset for "Long-wavelength pulse generation via light-sail backscattering"

description: Dataset for "Long-wavelength pulse generation via light-sail backscattering", paper submitted to PPCF
DOI: 10.17632/rdgr2yh65v.1
title: Pseudo Pair Potential Between Protons in Dense Hydrogen from First-Principles

description: The data contained herein supports the article of the same name.  There are relevant data sets.  R_1, R_2, R_3, and R_4.  Each of these correspond to a specific density (respectively) r_s = 1.185, 1.205, 1.225, and 1.245.  Each data set will contain the following data groups and their inputs generated from: density functional theory (DFT) calculations using the Plane Wave Self-Consistent Field (PWscf), molecular dynamics (MD) calculations, and potential calculations and statistics using potfit.  In addition, data for tables that were not calculated using the above methods are provided and labeled properly.
DOI: 10.48366/r209443
title: Wearable sensor-based human activity recognition systems

description: wearable sensor-based human activity recognition systems
DOI: 10.5281/zenodo.6628906
title: Youth Empowerment - Why, How, Who and Where

description: These data were contributed by participants of the Engaging Citizen Science Conference held in Aarhus, Denmark in April 2022. Participants first answered 'why' we should empower youth in citizen science and citizen social science. The stages of planning, running and sustaining a project were then explored using the questions 'how', 'who' and 'where'. The spreadsheet provides the participants answers and the authors' analysis of these.
DOI: 10.5281/zenodo.6628905
title: Youth Empowerment - Why, How, Who and Where

description: These data were contributed by participants of the Engaging Citizen Science Conference held in Aarhus, Denmark in April 2022. Participants first answered 'why' we should empower youth in citizen science and citizen social science. The stages of planning, running and sustaining a project were then explored using the questions 'how', 'who' and 'where'. The spreadsheet provides the participants answers and the authors' analysis of these.
DOI: 10.5281/zenodo.6975534
title: data for an article about public expenditure and time in office

description: The dataset offers data for a scientific article about public expenditure and time in power for 42 developing countries.
DOI: 10.5281/zenodo.6975533
title: data for an article about public expenditure and time in office

description: The dataset offers data for a scientific article about public expenditure and time in power for 42 developing countries.
DOI: 10.6084/m9.figshare.17695382.v1
title: Batrachochytrium salamandrivorans suitability and salamander susceptibility and risk for infection across the US

description: These files contain mostly raster data for the susceptibility and risk of salamanders to <i>Batrachochytrium salamandrivorans</i> (<i>Bsal</i>) infection across the US. They also contain suitability maps of <i>Bsal </i>in Europe and Asia, a list of susceptibility to infection by species, and raster data of salamander richness in the US based on known species ranges. The data is intended to supplement the following publication where details on methodology and interpretation are provided: <br>A spatially explicit risk assessment of salamander populations to <i>Batrachochytrium salamandrivorans </i>in the United States for direction conservation actions. <i>Diversity and Distributions.</i>
DOI: 10.26208/5vy5-c367
title: Supplementary data, code, and information for ‘On long range dependence in global surface temperature series: An editorial comment’ (Climatic Change, Mann 2011)

description: Long Range Dependence (LRD) scaling behavior has been argued to characterize long-term surface temperature time series. LRD is typically measured by the so-called “Hurst” coefficient, “H”. Using synthetic temperature time series generated by a simple climate model with known physics, I demonstrate that the values of H obtained for observational temperature time series can be understood in terms of the linear response to past estimated natural and anthropogenic external radiative forcing combined with the effects of random white noise weather forcing. The precise value of H is seen to depend on the particular noise realization. The overall distribution obtained over an ensemble of noise realizations is seen to be a function of the relative amplitude of external forcing and internal stochastic variability and additionally in climate “proxy” records, the amount of non-climatic noise present. There is no obvious reason to appeal to more exotic physics for an explanation of the apparent scaling behavior in observed temperature data.
DOI: 10.5281/zenodo.5579804
title: Phase picks for Raton Basin earthquakes 2016-2020

description: This dataset contains earthquake phase arrival information for both broadband seismometers and nodal geophones deployed from 2016 to 2020 in the Raton Basin. The Raton Basin is located on the Colorado-New Mexico border. For more details on the workflow that led to the development of the dataset please see the Glasgow et al. (2021) publication. A ReadMe with dataset details is included in the download.
DOI: 10.5281/zenodo.5579803
title: Phase picks for Raton Basin earthquakes 2016-2020

description: This dataset contains earthquake phase arrival information for both broadband seismometers and nodal geophones deployed from 2016 to 2020 in the Raton Basin. The Raton Basin is located on the Colorado-New Mexico border. For more details on the workflow that led to the development of the dataset please see the Glasgow et al. (2021) publication. A ReadMe with dataset details is included in the download.
DOI: 10.6084/m9.figshare.15134676.v1
title: Subclinical mastitis lipidomics water buffalo

description: This study aimed to determine the lipidome of water buffalo milk with intramammary infection (IMI) by non-aureus staphylococci (NAS), also defined as coagulase-negative staphylococci (CNS), using an untargeted lipidomic approach. Non-aureus Staphylococci are the most frequently isolated pathogens from dairy water buffalo milk during mastitis. A total of 17 milk samples from quarters affected by NAS-IMI were collected, and the lipidome was determined by liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF-MS). The results were compared with the lipidome determined on samples collected from 16 healthy quarters. The study identified 1857 different lipids, which were classified into 14 classes. The abundance of 72 lipids changed in NAS-IMI milk as compared to healthy quarters. Significant changes occurred primarily in the class of free fatty acids. The results of this study provided first-time insight into the lipidome of dairy water buffalo milk. They demonstrated that NAS-IMI could induce changes in the lipidome of water buffalo milk.<b></b>
DOI: 10.6084/m9.figshare.15134676
title: Subclinical mastitis lipidomics water buffalo

description: This study aimed to determine the lipidome of water buffalo milk with intramammary infection (IMI) by non-aureus staphylococci (NAS), also defined as coagulase-negative staphylococci (CNS), using an untargeted lipidomic approach. Non-aureus Staphylococci are the most frequently isolated pathogens from dairy water buffalo milk during mastitis. A total of 17 milk samples from quarters affected by NAS-IMI were collected, and the lipidome was determined by liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF-MS). The results were compared with the lipidome determined on samples collected from 16 healthy quarters. The study identified 1857 different lipids, which were classified into 14 classes. The abundance of 72 lipids changed in NAS-IMI milk as compared to healthy quarters. Significant changes occurred primarily in the class of free fatty acids. The results of this study provided first-time insight into the lipidome of dairy water buffalo milk. They demonstrated that NAS-IMI could induce changes in the lipidome of water buffalo milk.<b></b>
DOI: 10.5519/qd.ecpk3r1c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.6084/m9.figshare.20452752
title: Data-Pre-investigation.xlsx

description: Pre-investigation
DOI: 10.6084/m9.figshare.20452752.v1
title: Data-Pre-investigation.xlsx

description: Pre-investigation
DOI: 10.6084/m9.figshare.20452773
title: Questionnaire data

description: Questionnaire data
DOI: 10.6084/m9.figshare.20452773.v1
title: Untitled Item

description: Questionnaire data
DOI: 10.34740/kaggle/dsv/4046203
title: BBC News
DOI: 10.34740/kaggle/dsv/4046220
title: OntoUML/UFO Catalog
DOI: 10.5439/1275483
title: SACRADV-VAD

description: The SACR ADVanced Velocity-Azimuth Display (SACRADV-VAD) product is intended to complement infrequent soundings by providing profiles of horizontal wind speed and direction in-cloud every time the SACR operates the Hemispherical Sky Range-Height Indicator scan strategy, which is typically every 30 to 60 minutes. The Velocity Azimuth Display (VAD) technique was historically used to retrieve wind field properties using weather radars (Lhermitte and Atlas, 1961). SACRADV-VAD relies on SACR radial mean Doppler velocity observations from the SACRCOR VAP which are corrected for aliasing, noise, insects and second trip echo. SACRADV-VAD outputs a daily NetCDF file containing profiles of cloud level horizontal wind speed and direction derived every time the HS-RHI scan strategy is performed (this could result an irregular time stamp). This product is produced at a 50 m height resolution.
DOI: 10.5281/zenodo.6968792
title: The realization of autonomous, aircraft-based, real-time aerosol mass spectrometry in the upper troposphere and lower stratosphere (dataset)

description: Dataset accompanying the journal article titled "The realization of autonomous, aircraft-based, real-time aerosol mass spectrometry in the upper troposphere and lower stratosphere". Preprint: doi.org/10.5194/egusphere-2022-33
DOI: 10.5281/zenodo.6968791
title: The realization of autonomous, aircraft-based, real-time aerosol mass spectrometry in the upper troposphere and lower stratosphere (dataset)

description: Dataset accompanying the journal article titled "The realization of autonomous, aircraft-based, real-time aerosol mass spectrometry in the upper troposphere and lower stratosphere". Preprint: doi.org/10.5194/egusphere-2022-33
DOI: 10.5281/zenodo.6975657
title: Source codes and datasets for "DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning"

description: This contains the<strong> reproducible source code and dataset </strong>for the paper "DRLComplex : Reconstruction of protein quaternary structures using deep reinforcement learning paper"
DOI: 10.6084/m9.figshare.20452821
title: Supporting data in "Opposing Surfactant and Gel Effects of Soil Borne-Hydrogels on Soil Water Retention" by Wenjuan Zheng et al., submitted to Water Resource Research

description: "swrc.rar": Figure 3: measured soil water retention curves.<br> "swrc_reference.rar": Figure 4: soil water retention curves obtained from studies presented in Table 1.<br> "evap.rar": Figure 7: soil evaporation data in Figure 7.
DOI: 10.6084/m9.figshare.20452821.v1
title: Supporting data in "Opposing Surfactant and Gel Effects of Soil Borne-Hydrogels on Soil Water Retention" by Wenjuan Zheng et al., submitted to Water Resource Research

description: "swrc.rar": Figure 3: measured soil water retention curves.<br> "swrc_reference.rar": Figure 4: soil water retention curves obtained from studies presented in Table 1.<br> "evap.rar": Figure 7: soil evaporation data in Figure 7.
DOI: 10.5281/zenodo.6975653
title: Datos para revisión sistemática: diseño de estrategias de microaprendizaje en escenarios educativos

description: Datos recopilados y organizados para el desarrollo de la revisión sistemática de la literatura: <em>rasgos del diseño de estrategias de microaprendizaje en escenarios educativos</em>. Los artículos fueron seleccionados el 15 de noviembre de 2021 de Scopus y Web of Science, la ventana de tiempo de los artículos es 2018-2021, las palabras de búsqueda fueron "micro-learning" OR "microlearning" OR "micro-content" OR "multimedia micro-content".
DOI: 10.5281/zenodo.6975652
title: Datos para revisión sistemática: diseño de estrategias de microaprendizaje en escenarios educativos

description: Datos recopilados y organizados para el desarrollo de la revisión sistemática de la literatura: <em>rasgos del diseño de estrategias de microaprendizaje en escenarios educativos</em>. Los artículos fueron seleccionados el 15 de noviembre de 2021 de Scopus y Web of Science, la ventana de tiempo de los artículos es 2018-2021, las palabras de búsqueda fueron "micro-learning" OR "microlearning" OR "micro-content" OR "multimedia micro-content".
DOI: 10.5281/zenodo.6975697
title: Source codes and datasets for the paper "DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning"

description: This contains the<strong> reproducible source code and dataset </strong>for the paper "DRLComplex : Reconstruction of protein quaternary structures using deep reinforcement learning paper"
DOI: 10.5281/zenodo.6975709
title: Pacote de Reprodução da taxonomia para requisitos de privacidade

description: Taxonomia de requisitos de privacidade proposta a partir da LGPD e ISO/IEC 29100.
DOI: 10.5281/zenodo.6391814
title: Pacote de Reprodução da taxonomia para requisitos de privacidade

description: Taxonomia de requisitos de privacidade proposta a partir da LGPD e ISO/IEC 29100.
DOI: 10.5281/zenodo.6975710
title: Source codes and datasets for the paper "DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning"

description: This contains the<strong> reproducible source code and dataset </strong>for the paper "DRLComplex : Reconstruction of protein quaternary structures using deep reinforcement learning paper"
DOI: 10.5281/zenodo.6975656
title: Source codes and datasets for the paper "DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning"

description: This contains the<strong> reproducible source code and dataset </strong>for the paper "DRLComplex : Reconstruction of protein quaternary structures using deep reinforcement learning paper"
DOI: 10.21985/n2-rvg7-g666
title: MMW-Isotopic_Dataset
DOI: 10.5281/zenodo.6975767
title: Testing Drones as a Tool for Surveying Lizards

description: These data relate to detectability of model lizards by a drone operator as compared with a human observer and the code used to analyse the data.
DOI: 10.5281/zenodo.6975766
title: Testing Drones as a Tool for Surveying Lizards

description: These data relate to detectability of model lizards by a drone operator as compared with a human observer and the code used to analyse the data.
DOI: 10.34740/kaggle/dsv/4046553
title: Russian Invasion of Ukraine
DOI: 10.34740/kaggle/dsv/4046574
title: Aksara Jawa / Hanacaraka
DOI: 10.21985/n2-r59s-h582
title: Soil Moisture, LUX, and Temperature Datasets
DOI: 10.6084/m9.figshare.20452910.v1
title: Additional file 2 of Nutrient-limited subarctic caves harbour more diverse and complex bacterial communities than their surface soil

description: Additional file 2. ASV table with all the samples (including triplicates) from four cave zones of the six subarctic caves. GenBank accession numbers are given above each column (Table S2).
DOI: 10.6084/m9.figshare.20452913.v1
title: Additional file 3 of Nutrient-limited subarctic caves harbour more diverse and complex bacterial communities than their surface soil

description: Additional file 3. ASV table with averaged microbiomes for each zone within each cave (averages of triplicates). Only the ASVs with more than 20 sequences are given within the table (Table S3).