cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/b15ea962-a023-468b-9ec8-c7be90329d7a
title: CT scan data underlying the PhD dissertation: Numerical and deep learning algorithms for automated quality assurance in proton therapy

description: The dataset contains CT scans used as input for the algorithm developed in chapters 2 and 3 of the dissertation. Using a CT scan and a treatment plan as inputs, dose and dose change computations in regions of interest can be performed. Specifically, the dataset contains:<br>a head and neck CT scan obtained from the CORT dataset [1],a prostate CT scan obtained from the Cancer Imaging Archive [2],and multiple self-made custom water box CT scans. In addition to a homogeneous water box CT scan (i.e., a cube with uniform 0 Hounsfield Units (HU) composition), there are scans where a slab with half the side-length of the cube and composition of either bone (1000 HU) or air (-1000 HU) is inserted in the water box at varying distances from the middle point.<br>All the scans consist of CT slices and are stored in the DICOM format. To correctly read, relate to each other and further process the different CT slices, appropriate DICOM reading software (e.g., the pydicom Python package) must be used. <br>References:[1] - Craft, D., Bangert, M., Long, T., Papp, D., & Unkelbach, J. (2014). <em>Supporting material for: "Shared data for IMRT optimization research: the CORT dataset"</em> [Data set]. GigaScience Database. https://doi.org/10.5524/100110[2] - Yorke, A. A., McDonald, G. C., Solis, D., & Guerrero, T. (2019). <strong>Pelvic Reference Data (Version 1) [Data set].</strong> The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2019.WOSKQ5OO
DOI: 10.4121/b15ea962-a023-468b-9ec8-c7be90329d7a.v1
title: CT scan data underlying the PhD dissertation: Numerical and deep learning algorithms for automated quality assurance in proton therapy

description: The dataset contains CT scans used as input for the algorithm developed in chapters 2 and 3 of the dissertation. Using a CT scan and a treatment plan as inputs, dose and dose change computations in regions of interest can be performed. Specifically, the dataset contains:<br>a head and neck CT scan obtained from the CORT dataset [1],a prostate CT scan obtained from the Cancer Imaging Archive [2],and multiple self-made custom water box CT scans. In addition to a homogeneous water box CT scan (i.e., a cube with uniform 0 Hounsfield Units (HU) composition), there are scans where a slab with half the side-length of the cube and composition of either bone (1000 HU) or air (-1000 HU) is inserted in the water box at varying distances from the middle point.<br>All the scans consist of CT slices and are stored in the DICOM format. To correctly read, relate to each other and further process the different CT slices, appropriate DICOM reading software (e.g., the pydicom Python package) must be used. <br>References:[1] - Craft, D., Bangert, M., Long, T., Papp, D., & Unkelbach, J. (2014). <em>Supporting material for: "Shared data for IMRT optimization research: the CORT dataset"</em> [Data set]. GigaScience Database. https://doi.org/10.5524/100110[2] - Yorke, A. A., McDonald, G. C., Solis, D., & Guerrero, T. (2019). <strong>Pelvic Reference Data (Version 1) [Data set].</strong> The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.2019.WOSKQ5OO
DOI: 10.5281/zenodo.14536461
title: Model data used for figures in paper submitted to ACP "Different responses of cold-air outbreak clouds to aerosol and ice production depending on cloud temperature"

description: This dataset was the model output used for creating figures in the paper submitted to the ACP "Different responses of cold-air outbreak clouds to aerosol and ice production depending on cloud temperature". The two case studies were two cold-air outbreak events over the Labrador Sea on 15 March 2022 (150322) and 24 October 2022 (241022). The first six digits of the .nc files indicate the date. The time for model output is 16:45 UTC for the 15 March 2022 case, and 17:00 UTC for the 24 October 2022 case. Please refer to the preprint paper for more information about the model setup and model configurations for the sensitivity test simulations.

xxxxxx_2d.nc files contain the columnar/surface model output, including cloud cover, all-sky liquid water path, all-sky ice water path, surface snow precipitation rate, surface rain precipitation rate, incoming solar radiation flux at the top of the atmosphere, outgoing shortwave radiation flux at the top of the atmosphere, and outgoing shortwave radiation flux at the top of the atmosphere. Each xxxxxx_2d.nc file contains 7 groups from the sensitivity test simulations, including control, nd10, nd150, sinp0.0001, sinp100, ehm10, and ehm7000.

xxxxxx_3d_*.nc files contain the model output with vertical levels (80) for each model configuration, including temperature, pressure, grid-box mean liquid water content, grid-box mean ice water content, grid-box mean ice crystal number concentration, grid-box mean snow number concentration, liquid cloud volume fraction, ice cloud volume fraction and total cloud volume fraction.

Note that the data provided here are created on 2D coordinates (longitudes and latitudes are 2D arrays). This is because the nested UM model uses the rotated pole method and the model data here are the selected CAO domain subset. For 3D datasets, model height for a total of 80 levels is included.

If you have any problem with this dataset or require further information, please contact Xinyi Huang via email (ee21xh@leeds.ac.uk).
DOI: 10.5439/1097546
title: 30qcecor

description: ARM Instrument: Quality Controlled Eddy Correlation Flux Measurement
DOI: 10.5439/1615604
title: ARM: CSAPR2CFRPPIQC

description: csapr
DOI: 10.17190/amf/1419506
title: AmeriFlux AmeriFlux US-NC3 NC_Clearcut#3

description: This is the AmeriFlux version of the carbon flux data for the site US-NC3 NC_Clearcut#3. Site Description - The North Carolina Clearcut site #3 was set up to complement NC2, and continue in place of NC1. The previous rotation of loblolly pine was harvested in the spring of 2012, the site was prepared and replanted with 2-yr old seedlings in the winter of 2012/2013. Measurements were terminated in 2021 due to trees outgrowing the tower and infrastructure capability.
DOI: 10.17190/amf/2331382
title: AmeriFlux AmeriFlux US-RRC Rice Rivers Center Marsh

description: This is the AmeriFlux version of the carbon flux data for the site US-RRC Rice Rivers Center Marsh. Site Description - Restored freshwater, tidal wetland
DOI: 10.17632/mpbj5sdzp2.2
title: Carbon emissions through the weathering of petrogenic organic carbon and the net geological carbon budget of the Tibetan Plateau

description: Original dataset and model for "Carbon emissions through the weathering of petrogenic organic carbon and the net geological carbon budget of the Tibetan Plateau"
DOI: 10.17909/6qvy-zr60
title: Data from The James Webb Interferometer: Space-based interferometric detections of PDS 70 b and c at 4.8 $\mu$m
DOI: 10.18157/qogstdjan19
title: QoG Standard Dataset 2019
DOI: 10.18164/72bef1bc-709a-4d57-99ea-6969b9728335
title: Major Ions
title: Ions importants

description: Major ions data consist of the following key ions in precipitation: Cl-, NO3-, SO4=, NH4+, Na+, K+, Ca++, Mg++. The data sets typically also include the pH and depth of the precipitation sample. These data are collected by several provincial, national and bi-national networks. The wet-only precipitation collector samples precipitation only when it rains or snows. A snow gauge and/or a rain gauge measure the amount of precipitation that has fallen during the measurement period. Measurement periods may be 24 hours or weekly cycles depending on the operating procedures of each network. The amount of wet deposition of a pollutant is calculated by multiplying the measured amount of precipitation by the concentration of the pollutant in the precipitation.
description: Les données sur les ions importants portent sur les ions importants dans les précipitations suivants : Cl-, NO3-, SO4=, NH4+, Na+, K+, Ca++, Mg++. Généralement, les ensembles de données comprennent aussi le pH et la profondeur de l’échantillon de précipitations. Ces données sont recueillies par plusieurs réseaux provinciaux, nationaux et binationaux. Le collecteur de précipitations humides recueille des échantillons seulement lorsqu’il pleut ou qu’il neige. Le nivomètre et le pluviomètre mesurent la quantité de précipitations tombées pendant la période de mesure. Les périodes de mesure peuvent être de 24 heures ou des cycles d’une semaine, selon les procédures d’exploitation de chacun des réseaux. La quantité de dépôt humide d’un polluant est calculée en multipliant la quantité de précipitations mesurée par la concentration du polluant dans les précipitations.
DOI: 10.23634/mmu.00637959
title: Comparing the Accuracy and Precision of Smartphone and Specialist Handheld GNSS Receivers for Use in Ecological Fieldwork

description: 1. Smartphones are handheld computers and multichannel communication devices that carry an array of sensors and can link with specialist external devices. These powerful tools have an established role in biological recording and ecological surveying. The ability to geolocate accurately is frequently essential to ecological fieldwork. This field study aimed to test the performance of a compact/handheld surveyor-grade GNSS receiver, functioning as an external sensor, compared to smartphones’ inbuilt GNSS receivers and a standard-grade external GNSS receiver.
2. We devised a series of survey protocols to test the horizontal accuracy of GNSS receivers in static and dynamic scenarios typical of ecology fieldwork, estimating the horizontal distance of GNSS measurements under ‘open sky’ conditions from a base station geolocated with centimeter accuracy. Protocols were designed to test the capabilities of GNSS receivers; the absolute horizontal accuracy and precision in static surveys and performance in dynamic surveys, walking a transect with frequent changes of direction, or roaming across the survey area, requiring the GNSS to rapidly reestablish a position fix.
3. In all survey protocols, the surveyor-grade GNSS performed significantly better with lower horizontal distance estimates at the 50th centile and more consistent performance at the 95th centile than the other GNSS receivers, giving median distance estimates of 0.5 - 1.1 m. The median horizontal accuracy of inbuilt GNSS receivers in this trial was 0.9 - 3.4 m under ‘open sky’ conditions.
4. The smartphone GNSS receivers that we tested were accurate to within a few meters. Linking the smartphone with a moderately priced compact/handheld external GNSS receiver significantly improved performance.
DOI: 10.25378/janelia.27273552.v1
title: Dataset supporting paper "Learning produces a hippocampal cognitive map in the form of an orthogonalized state machine"

description: This dataset contains two-photon calcium imaging data from the CA1 region of the mouse hippocampus during learning of a virtual reality-based behavioral task. The data was collected as mice learned to perform a 2-alternative cue-delay-choice (2ACDC) task requiring them to associate specific visual cues with reward locations in two different virtual linear tracks.<b>Dataset Contents:</b>Two-photon calcium imaging recordings from thousands of neurons in dorsal CA1.Behavioral data including running speed and licking behaviorVirtual reality task parameters and trial informationMulti-day registered imaging data with cell ROIs and fluorescence traces<b>Data Collection Methods:</b>Imaging was performed using a custom two-photon random access mesoscope (2P-RAM) through a 3mm cranial window. GCaMP6f fluorescence signal was recorded at 10Hz. Behavioral data was collected as mice navigated virtual reality environments on a spherical treadmill. Multiple sessions were recorded per animal over days to weeks of learning.This dataset supports research examining how cognitive maps form in the hippocampus during learning. The data reveals the gradual emergence of an orthogonalized state machine representation that mirrors improvements in task performance. The dataset demonstrates both population-level changes in neural activity and modifications to individual neuron response properties as animals learn to perform the task efficiently.Related preprint: https://www.biorxiv.org/content/10.1101/2023.08.03.551900v3
DOI: 10.5067/aura/mls/data2017
title: MLS/Aura L2 Ozone (O3) Mixing Ratio - Version 4
DOI: 10.5067/aura/omi/data2025
title: OMI/Aura Ozone (O3) Total Column Daily L2 Global 0.25 deg Lat/Lon Grid
DOI: 10.5281/zenodo.14631849
title: Mid-Late Holocene coral calcification dynamics: Deciphering climatic and environmental effects

description: Over the past four decades, a marked decrease in coral calcification has occurred across the world's tropical reefs, closely linked to climate change and human-activity impacts. However, how natural and human-induced factors influence coral calcification remains unclear due to limited understanding of the geological past. This study addresses this gap by investigating the calcification parameters of 82 Porites corals from the northern South China Sea, with growth periods covering distinct climatic epochs during the Mid-Late Holocene, including the Holocene Climate Optimum, 4.2 ka BP event, Medieval Climate Anomaly, Little Ice Age, and Current Warm Period. Our findings show a gradual increase in coral skeletal density towards the present, and varied linear extension and calcification rates between warm and cold phases and between pre- and post-industrial periods. This suggests that temperature plays a pivotal role in controlling coral calcification, with contingent influences from volcanic activity and solar radiation. Notably, the linear extension and calcification rates were significantly reduced during the Current Warm Period, suggesting a surpassing impact of contemporary human activities over the natural variability on coral calcification. This raises concerns about the future prospects of coral reefs in the face of ongoing climate change and increasing human-activity impacts.
DOI: 10.5281/zenodo.8225106
title: open-MaStR - Marktstammdatenregister

description: The data set contains all data from the Marktstammdatenregister. The data set is downloaded and processed with the software open-MaStR. License information: Marktstammdatenregister - © Bundesnetzagentur für Elektrizität, Gas, Telekommunikation, Post und Eisenbahnen | DL-DE-BY-2.0
DOI: 10.5281/zenodo.8354262
title: 2020 forest age map for China with 30 m resolution

description: We constructed a framework for estimating China’s forest age by combining remote sensing time series analysis and machine learning algorithms based on over 50 000 field measurements and a remote sensing dataset. We use the proposed framework to generate a spatially explicit forest age map for China for the year 2020 and with 30 m resolution. The map is validated by comparison with independent field plots, which produces an R<sup>2</sup> for the estimated forest-age map ranging from 0.51 to 0.63. Nationally, the average forest age is 56.1 years (standard deviation =32.7 years).
DOI: 10.5287/ora-brdm8y2ez
title: Data for Mechanics of pressurized cellular sheets

description: Data for paper submitted to Journal of Royal Society Interface
DOI: 10.5439/1432694
title: ldquants

description: 1. Provide cleaned and filtered data stream from multiple ARM disdrometers; 2. Estimate commonly-used physical parameters of the Drop Size Distribution (DSD). 3. Calculate radar equivalent quantities such as the Radar Reflectivity Factor Z.
DOI: 10.6084/m9.figshare.28194434
title: Supplementary Material for: Anaphylaxis to a vedolizumab infusion following drug holiday in a patient with ulcerative colitis: a case report.

description: Introduction: Vedolizumab is a commonly prescribed biologic agent due to its safety profile and clinical efficacy. Severe infusion related reactions are exceedingly rare, with no previously documented cases of anaphylaxis to vedolizumab infusion following a drug holiday. Case Presentation: We report the case of a 65-year-old male with ulcerative colitis who had a severe anaphylactic reaction to the first re-induction infusion of vedolizumab following a 30-month drug holiday. No pre-infusion prophylactic medication was administered. Upon commencement of the infusion, the patient developed anaphylactic symptoms including airway compromise that required intensive care unit admission and treatment with an adrenaline infusion. Conclusion: Anaphylactic reactions to vedolizumab after a drug holiday can occur. As is done for infliximab, we recommend administration of an antipyretic, antihistamine and corticosteroid prior to vedolizumab re-induction infusions when it is given after a drug holiday.
DOI: 10.15142/t39w2v
title: Experimental Validation Data for CFD of Steady and Transient Mixed Convection on a Vertical Flat Plate

description: Simulations are becoming increasingly popular in science and engineering. One type of simulation is Computation Fluid Dynamics (CFD) that is used when closed forms solutions are impractical. The field of Verification & Validation emerged from the need to assess simulation accuracy as they often contain approximations and calibrations.

Validation involves the comparison of experimental data with simulation outputs and is the focus of this work. Errors in simulation predictions may be assessed in this way. Validation requires highly-detailed data and description to accompany these data, and uncertainties are very important.

The purpose of this work is to provide highly complete validation data to assess the accuracy of CFD simulations. This aim is fundamentally different from the typical discovery experiments common in research. The measurement of these physics was not necessarily original but performed with modern, high fidelity methods. Data were tabulated through an online database for direct use in Reynolds-Averaged Navier Stokes simulations. Detailed instrumentation and documentation were used to make the data more useful for validation. This work fills the validation data gap for steady and transient mixed convection.

The physics in this study included mixed convection on a vertical flat plate. Mixed convection is a condition where both forced and natural convection influence fluid momentum and heat transfer phenomena. Flow was forced over a vertical flat plate in a facility built for validation experiments. Thermal and velocity data were acquired for steady and transient flow conditions. The steady case included both buoyancy-aided and buoyancy-opposed mixed convection while the transient case was for buoyancy-opposed flow. The transient was a ramp-down flow transient, and results were ensemble-averaged for improved statistics. Uncertainty quantification was performed on all results with bias and random sources.

An independent method of measuring heat flux was devised to assess the accuracy of commercial heat flux sensors used in the heated wall. It measured the convective heat flux by the temperature gradient in air very near the plate surface. Its accuracy was assessed by error estimations and uncertainty quantification.
DOI: 10.17190/amf/1480314
title: AmeriFlux AmeriFlux US-NC4 NC_AlligatorRiver

description: This is the AmeriFlux version of the carbon flux data for the site US-NC4 NC_AlligatorRiver. Site Description - The North Carolina Alligator River site was established to provide core measurements for understanding carbon cycling in natural coastal forested wetlands. It serves as a reference for NC1, NC2 and NC3, representing an ecosystem type that dominated the area prior to European settlement.
DOI: 10.17632/9h4jgrz3nn.2
title: Sample Instagram presidential campaign in Colombia 2022

description: (English) Code book, most relevant quantitative results of the content analysis and matrix with the sample used for the investigation (373 Instagram posts) of the candidates Gustavo Petro and Rodolfo Hernández. This represents 33.2% of the total publications made during the campaign by both candidates. The chosen publications turn out to be the ones with the greatest impact (engagement) in terms of Likes and Comments.

(Spanish) Libro de códigos, resultados cuantitativos más relevantes del análisis de contenido y matriz con la muestra usada para la investigación (373 publicaciones de Instagram) de los candidatos Gustavo Petro y Rodolfo Hernández. Esto representa el 33,2% del total de las publicaciones realizadas en campaña por ambos candidatos. Las publicaciones elegidas resultan ser las de mayor impacto en términos de Me Gusta y Comentarios.
DOI: 10.17632/fspyss5zbb.1
title: CNFOOD-241

description: Contains a dataset of 241 Chinese dishes with 191,811 images. There are 170843 images in the training set and 20943 images in the validation set. All images are resized to 600x600. As some of the images in the dataset are from ChineseFoodNet, they are not supported for commercial use.
DOI: 10.23722/1718912
title: Recommended Best Practices for the Characterization of Storage Properties of Hydrogen Storage Materials

description: These reports, written by H2 Technology Consulting under contract with the National Renewable Energy Laboratory, provides an introduction to and overview of the recommended best practices in making measurements of the hydrogen storage properties of materials. Sections 1-5 (published in February 2012), Section 6 (published in February 2013), and Section 7 (published in January 2016). The goal in developing this report was to create a reference guide of common methodologies and protocols for measuring critical performance properties of advanced hydrogen storage materials and to serve as a resource to the hydrogen storage materials development community to aid in clearly communicating the relevant performance properties of new materials as they are discovered and tested. <br> Section 1: Introduction<br> Section 2: Kinetics Measurements<br> Section 3: Capacity Measurements<br> Section 4: Thermodynamic Measurements<br> Section 5: Cycle-Life Measurements<br> Section 6: Thermal Properties Measurements<br> Section 7: Mechanical Properties Measurements
DOI: 10.5281/zenodo.11623075
title: Supplemental data for: Structural polymorphism and diversity of human segmental duplications

description: Data used for figure generation and analysis in: Structural polymorphism and diversity of human segmental duplications

 

Code used for data analysis is on https://github.com/hrrsjeong/pangenome_SD
DOI: 10.5281/zenodo.14208280
title: Linear and Nonlinear refractive index of ITO(n&k)
DOI: 10.5281/zenodo.4743746
title: IoT-23: A labeled dataset with malicious and benign IoT network traffic

description: IoT-23 is a dataset of network traffic from Internet of Things (IoT) devices. It has 20 malware captures executed in IoT devices, and 3 captures for benign IoT devices traffic. It was first published in January 2020, with captures ranging from 2018 to 2019. These IoT network traffic was captured in the Stratosphere Laboratory, AIC group, FEL, CTU University, Czech Republic. Its goal is to offer a large dataset of real and labeled IoT malware infections and IoT benign traffic for researchers to develop machine learning algorithms. This dataset and its research was funded by Avast Software. The malware was allow to connect to the Internet.
description: More details here https://www.stratosphereips.org/datasets-iot23